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Agentic AI / LLM Agents — 2026 · Paper list (707)

July 2026 (340)

Date Paper Venue Why selected
2026-07-23 ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders
2026-07-23 AREX: Towards a Recursively Self-Improving Agent for Deep Research
2026-07-23 Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text
2026-07-23 Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers
2026-07-23 OpenForgeRL: Train Harness-native Agents in Any Environment MSR team; trains agents inside real harnesses (Claude Code, Codex); directly actionable for harness builders
2026-07-23 PATS: Policy-Aware Training Scaffolding for Agentic Reinforcement Learning Policy-aware scaffolding for long-horizon RL agents; addresses exploration collapse in sparse-reward settings
2026-07-23 GuardianAgentBench: Where Agents Fail and How to Guard Them 580-scenario safety benchmark for autonomous agents; maps failure modes and guards—directly useful for harness evaluation
2026-07-23 The Dark Room in the Reward Channel: Dense Prediction Rewards Collapse GRPO-Trained LLM Agents -- and What Actually Works Dense reward collapse under GRPO for LLM agents; identifies what actually works—critical RL training insight
2026-07-23 AttriMem: Attribution-Guided Process Feedback for Agent Memory Learning Attribution-guided memory learning for agents; addresses what to store/compress/discard—core harness problem
2026-07-23 MemTools: A Unified Research Framework for Interoperable Agent Memory Unified interoperable agent memory framework; targets architectural fragmentation across memory lifecycle stages
2026-07-23 Is Deep Research Reliable? Misleading Knowledge Induces False Conclusions Reliability of deep research agents under misleading knowledge; evaluates long-horizon retrieval+synthesis pipelines
2026-07-22 DocOps: A Verifiable Benchmark for Autonomous Agents in Complex Document Operations
2026-07-22 NVIDIA-labs OO Agents: Native Python Object-Oriented Agents
2026-07-22 ArbiGraph: Arbitrarily Scalable Verifiable Task Graphs for Evaluating Context Management Scalable benchmark for context management in tool-assisted agents; evaluates retain/update/discard across workflows
2026-07-22 From Agent Failures to Text Policies: What Works and What Breaks Empirical analysis of TextGrad applied to agents; identifies what breaks in text-gradient optimization for agent components
2026-07-21 Cross-Agent Campaign Attribution: Linking Asynchronous Attacks Across LLM Agents ICML 2026 ICML 2026; first formalization of distributed cross-agent cross-session attack attribution
2026-07-21 ResearchArena: Evaluating Sabotage and Monitoring in Automated AI R&D AI-control approach to untrusted R&D agents; sabotage detection + monitoring benchmark
2026-07-21 PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents Daya Guo (DeepSeek); novel repair-strategy exploration for software-agent issue resolution
2026-07-21 They'll Verify. They Just Won't Act. How Authority Framing and Laundered Code Turn a Trusted Agentic CI/CD Pipeline Into an Attack Surface Production 5-agent CI/CD pipeline; authority-laundering turns guardrails into attack surface
2026-07-21 AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents Open-source toolkit for LLM agent failure attribution and root-cause recovery
2026-07-21 MedDDC-Eval: Diagnosis-Decoupled Evaluation of Multi-Turn Medical Consultation Agents Decouples inquiry policy from diagnosis quality in multi-turn medical consultation agents
2026-07-21 AgentTrails: Towards Trust and Reuse for Agentic Tasks Freire group (NYU); provenance and trust framework for reusable agent task trajectories
2026-07-21 Broken Gates: Re-evaluating Web Bot Defenses in the Age of LLM Agents LLM agents circumvent CAPTCHAs and bot defenses; forces web-security threat-model update
2026-07-21 Supra Cognitive Modes: A Routed Architecture for Agent Memory Routed memory architecture separating factual lookup, reasoning, synthesis — core harness primitive
2026-07-21 CodeRescue: Budget-Calibrated Recovery Routing for Coding Agents Budget-calibrated failure-recovery routing for coding agents; practical cost-aware scaffolding mechanism
2026-07-21 Data Leakage Prevention in Agentic Applications via Preemptive Hardening Preemptive hardening against prompt-injection data leakage; actionable security for agentic deployment
2026-07-21 Agents in the Wild: Where Research Meets Deployment Research-to-production survey from credible IR/agent group; maps real deployment failure modes
2026-07-21 Verifiable Self-Evolution for Open-Ended Dialogue Skills via Future-Feedback Prediction Self-evolution for frozen agents via future-feedback; extends verifiable RL to open dialogue skills
2026-07-21 SkillSight: Seeing Through Shared Descriptions for Accurate Skill Retrieval Skill retrieval for large libraries; solves accuracy bottleneck in skill-augmented agent harnesses
2026-07-21 Skillware: A Software Ontology and Engineering Lifecycle for Persistent Behavioral Artifacts First software ontology treating agent skills as persistent artifacts with lifecycle and metadata
2026-07-21 BioSecBench-Surveillance: A Verifiable Benchmark for AI Agents in Pathogen Genomic Surveillance Verifiable benchmark for AI agents in pathogen surveillance; medical AI + agent eval combined
2026-07-21 FinanceComplexQA: Benchmarking Agentic Reasoning on Industrial-grade Financial Documents
2026-07-20 ETAS: An Effect-Typed Language for Agent Systems First-class language semantics for agents, tools, memory, policies — foundational harness design
2026-07-20 Harness Engineering for LLM-Driven GPU Kernel Generation Harness-centered LLM agent system for GPU kernels; constraint, validate, profile, select loop
2026-07-20 TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization Google Research; trajectory minimization cuts agent-generated code bloat — practical coding agent fix
2026-07-20 Verify, Repair, Repeat, or Stop? Robust Stopping for Noisy Verify-Repair Loops in LLM Agents Formal stopping criteria for noisy verify-repair loops; directly governs agent loop design
2026-07-20 FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal Applications Agent harness for real-time multimodal pipelines; placement, streaming, intra-pipeline decisions
2026-07-20 SEE: Structure-aware Exploring \& Exploiting for Long-horizon GUI Agent Trajectory Synthesis Long-horizon GUI agent trajectory synthesis; structure-aware explore/exploit for scarce data
2026-07-20 MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models TMLR TMLR; Tresp group; multi-agent debate + RL trains compact models to reason efficiently
2026-07-20 Adaptive Adversaries: A Multi-Turn, Multi-LLM Benchmark for LLM Agent Security Adaptive multi-turn, multi-LLM security benchmark; dynamic attacker vs. defender evaluation
2026-07-20 SWE-Pruner Pro: The Coder LLM Already Knows What to Prune Microsoft Research; coding agent self-prunes context without separate classifier — deploy-ready
2026-07-20 Mechanistic Attention Guidance for Agent Memory Refinement Mechanistic attention signals improve agent memory refinement beyond text-only trajectories
2026-07-20 Why Does Feedback-Augmented Self-Distillation Fail to Improve Retrieval-Interleaved Search Agents? Negative result on OPSD for retrieval-interleaved agents; tells builders what training strategies fail
2026-07-20 Self-State Attacks on Self-Hosted AI Agents: How Far Can OS Defenses Go? Schmidhuber co-author; self-state OS-level attack vector on self-hosted agents is novel and underexplored
2026-07-20 Is Progressive Disclosure All You Need for Long-Context Agents? Benchmarks progressive-disclosure vs retrieval for long-context agents; direct harness architecture guidance
2026-07-20 Oracle Gap and Signal Fidelity: A Fixed-Pool Diagnostic for Test-Time Collaboration Fixed-pool diagnostic separates oracle gap from signal fidelity; clarifies when verifier pipelines help
2026-07-20 Retain or Consolidate? Budget-Dependent Operator Selection for Language Agent Memory Budget-aware retain-vs-consolidate memory operator; directly addresses context-cost tradeoffs in agents
2026-07-20 Exploratory and Assimilating Reflection: Reflective Recall Cycle for Long-term Memory Reflective recall cycle for long-term agent memory; novel two-phase (explore + assimilate) design
2026-07-20 The Shared Discovery Paradox: How a One-Answer Rule Turns Better Information into Worse Search Nakajima (BabyAGI); exactly solvable multi-agent shared-discovery model exposes coverage vs belief tradeoff
2026-07-20 ProEvent: An Event-centric Benchmark for Proactive Agents Event-centric proactive agent benchmark; evaluates anticipatory assistance without explicit user instructions
2026-07-20 Structured Output Collapses Answer Diversity Across 44 Language Models Structured-output format shifts answers across 44 LLMs; critical for every agent builder
2026-07-20 The Story Shapes the Agent: Narrative Priors in LLM Behavior COLM 2026 COLM 2026; narrative framing empirically dominates persona in steering agent behavior
2026-07-20 Engineering Trustworthy Agentic AI for Critical Systems Engineering framework for trustworthy agentic AI in critical systems; evaluation and safety criteria
2026-07-18 DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines Novel platform closing script-vs-artifact gap; directly models editable agent harness pipelines
2026-07-17 Recursive Harness Self-Improvement Zaharia (Berkeley/Databricks); harnesses as data-generators that self-improve — fundamental for meta-harness builders
2026-07-17 When Do Multi-Agent Systems Help? An Information Bottleneck Perspective Information-bottleneck theory for when MAS beats SAS; directly governs single- vs multi-agent architecture decisions
2026-07-17 Process Reward Informed Tree Rollout for Effective Multi-Turn RL Process-reward tree rollout for multi-turn RL; solves GRPO/RLOO credit-assignment failure on long-horizon agent tasks
2026-07-17 ToolVerse: Unlocking Massive Environments and Long-Horizon Tasks for Agentic Reinforcement Learning ToolVerse: massive diverse environments + long-horizon tasks close the evaluation gap for real-world agentic RL
2026-07-17 SeerGuard: A Safety Framework for Mobile GUI Agents via World Model Prediction World-model safety predictor for GUI agents before irreversible actions; directly applicable architecture for any action-space agent
2026-07-17 DSWorld: A Data Science World Model for Efficient Autonomous Agents World model cuts expensive trial-and-error in data-science agents; pattern generalizes to any code-execution agent loop
2026-07-17 SkillCorpus: Consolidating and Evaluating the Open Skill Ecosystem for Real-World LLM Agents First corpus + eval of SKILL.md ecosystem; ground truth on skill quality and reuse for real-world agent harnesses
2026-07-17 Scalable LLM Agent Tool Access in the Cloud MCP at cloud scale; concrete infra for tool-calling agents — immediately buildable
2026-07-17 Behavioral Controllability of Agentic Models for Information Extraction: From Fixed Workflows to Reflective Agents Empirically tests whether reflection/memory in LLM agents yield controllable, observable gains
2026-07-17 Do Agents Dream of False Memories? Black-box Visual Attacks on Long-term Memory in Multimodal AI Agents Black-box memory poisoning attacks on multimodal agents; critical security surface for long-term memory systems
2026-07-17 Agentic Synthesis against Counterexample-Supplemented Sketches Counterexample-supplemented synthesis prevents coding agents from repeating domain-rule violations
2026-07-17 The Honest Quorum Problem: Epistemic Byzantine Fault Tolerance for Agentic Infrastructure Byzantine fault tolerance framing for agentic infrastructure; novel epistemic trust model
2026-07-17 When Does Muon Help Agentic Reinforcement Learning? Muon vs AdamW in sparse-reward agentic RL; optimizer choice has direct post-training implications
2026-07-17 Knowledge-Centric Agents for Workflow Generation ECCV 2026 ECCV 2026; knowledge-centric agents for workflow generation in visual creation systems (ComfyUI)
2026-07-17 RecGPT-V3 Technical Report
2026-07-16 Democratizing Agent Deployment Safety: A Structural Monitoring Approach ICML 2026 ICML 2026; structural runtime monitoring for deployed agents; directly buildable harness component
2026-07-16 Bad Memory: Evaluating Prompt Injection Risks from Memory in Agentic Systems Franziska Roesner (UW security); memory-as-attack-surface; critical threat model for persistent agents
2026-07-16 SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning Self-evolving on-policy distillation closes RL sample-efficiency gap; directly improves agentic training recipes
2026-07-16 Proof-or-Stop: Don't Trust the Agent, Trust the Evidence -- Loop Engineering for Verifiable Evidence-Gated Lifecycle Control Evidence-gated lifecycle control; novel harness primitive for verifiable agent state transitions
2026-07-16 Bridge Evidence: Static Retrieval Utility Does Not Predict Causal Utility in Multi-Step Agentic Search Static retrieval utility ≠ causal utility in multi-step search; redefines how to build agentic RAG
2026-07-16 MCPEvol-Bench: Benchmarking LLM Agent Performance Across Dynamic Evolutions of MCP Servers MCP is now core agent infrastructure; first benchmark tracking agent perf across server version drift
2026-07-16 MemPoison: Uncovering Persistent Memory Threats and Structural Blind Spots in LLM Agents Memory poisoning via normal interaction channels; persistent cross-session attack surface with concrete exploits
2026-07-16 Tactile: Giving Computer-Using Agents Hands and Feet Replaces brittle coordinate-click motor layer for computer-use agents; practical foundation for GUI automation
2026-07-16 LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget Closes RL/inference context gap (2M tokens); novel approach for long-horizon agent training
2026-07-16 Plover: Steering GUI Agents through Plan-Centric Interaction Plan-centric GUI agent handles dynamic layouts; core capability for building robust GUI agents
2026-07-16 Does Multi-Agent Debate Improve AI Feedback on Research Papers? Pre-registered negative result: multi-agent debate doesn't improve AI feedback; critical harness design signal
2026-07-16 RetroAgent: Harnessing LLMs to Search Over Structured Memory for Agentic Retrosynthesis Planning COLM 2026 COLM 2026; structured memory for LLM agentic planning in complex combinatorial search spaces
2026-07-16 AutoSynthesis: An agentic system for automated meta-analysis Feuerriegel (TU Munich); end-to-end agentic scientific synthesis; reproducible for medical evidence automation
2026-07-16 Beyond Generalist LLMs: Specialist Agentic Systems for Structured Code Workflow Execution Specialist vs generalist coding agents; structured workflow execution beats general LLMs on complex tasks
2026-07-16 When Words Are Safe But Actions Kill: Probing Physical Danger Beyond Text Safety in Hidden-State Risk Space LLM-as-planner safety gap: linguistically safe → physically lethal; critical for embodied agent harnesses
2026-07-16 OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios Broad general-agent benchmark spanning tool use + multi-step tasks; key eval reference for harness builders
2026-07-16 SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration Multi-agent web-search collaboration addressing long-context task tracking; directly buildable system
2026-07-16 Step-Level Preference Learning for Generative Agents in Social Simulations Step-level preference learning for long-horizon agent decisions; advances beyond episode-level RLHF for agents
2026-07-16 SafeRelBench: A Spatial-Relation-Aware Benchmark for Process-Level Safety in VLM-Driven Embodied Agents Process-level spatial-relation safety benchmark for VLM embodied agents; fills eval gap for robot planners
2026-07-16 TopoAgent: A Self-Evolving Topological Agent for Multimodal Scientific Reasoning Self-evolving topological agent for multimodal scientific reasoning; novel non-linear planning architecture
2026-07-16 MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization Multimodal repo-level issue localization benchmark; exposes text-only gap in coding agent eval
2026-07-16 Are LLM-Generated GPU Kernels Production-Ready? A Trace-Driven Benchmark and Optimization Agent Trace-driven production benchmark + optimization agent for LLM-generated GPU kernels; practical infra-level eval
2026-07-16 BrainPilot: Automating Brain Discovery with Agentic Research End-to-end agentic pipeline for neuroscience discovery; strong template for scientific agent harness design
2026-07-16 ANet Patu-1: The Value of Connection in the Agent Network Novel network-value theory (Reed/Metcalfe laws) applied to multi-agent topology design
2026-07-16 Scaling Behavior Foundation Model for Humanoid Robots Scaling behavior foundation model for humanoid embodied agents; foundational for generalist robots
2026-07-16 VTM-Nav: Hierarchical Visual-Topological Memory for Cross-Episode Object-Goal Navigation Training-free VLM-based embodied navigation with hierarchical visual-topological memory
2026-07-16 Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents Multi-LLM agent coalition simulation + auditing framework; practical multi-agent behavior evaluation
2026-07-16 MathCoPilot: An Interactive System for Human-AI Symbiotic Paradigm of Mathematical Research Human-AI symbiotic paradigm for math; novel human-in-loop agent scaffold for scientific discovery
2026-07-16 Alipay-PIBench: A Realistic Payment Integration Benchmark for Coding Agents Industry coding-agent benchmark (Alipay) covering realistic repo-level payment integration tasks
2026-07-16 The Energy Society: A Simulation Environment for Studying Agent Cooperation under Survival Pressure Controlled multi-agent survival environment to study emergent cooperation/defection in LLM agents
2026-07-16 Towards an Intention Abstraction Layer for Autonomous Industrial Systems Intention abstraction layer for multi-subsystem coordination; directly relevant to agent harness design
2026-07-16 StructureClaw: Traceable LLM Agents and an Executable Benchmark for Structural Engineering Workflows Traceable LLM agents + executable benchmark for multi-step engineering workflows
2026-07-16 LQCDMaster: Agentic Scientific Computing for Lattice Quantum Chromodynamics Research End-to-end agentic scaffold for scientific computing; tests multi-step tool orchestration
2026-07-16 Collaborative Spatial Learning with Multi-LLM Agents in Networked Social Experiments Multi-LLM agents in networked experiments; exploit/explore tradeoff across agent collectives
2026-07-16 Memory-Driven Self-Disclosure and Relational Turning Points: A Longitudinal Multimodal Study of Human-AI Interaction Longitudinal memory-augmented conversational agent; empirical relational dynamics data
2026-07-16 Can We Trust Item Response Theory for AI Evaluation? Questions IRT foundations of AI benchmarking; directly impacts agent evaluation validity
2026-07-16 SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation Schema-aware grounding for agentic SPARQL; structured KG query generation via LLMs
2026-07-16 MARS: Multi-hop Adaptive Retrieval and SPARQL Generation for KGQA Multi-hop adaptive retrieval + SPARQL; grounded LLM reasoning over knowledge graphs
2026-07-16 Multimodality as Supervision: Self-Supervised Specialization to the Test Environment via Multimodality Self-supervised cross-modal specialization at test time; practical for embodied VLM agents
2026-07-16 SciDiagramEdit: Learning to Edit Scientific Diagrams from Paper Revisions Figure editing via paper revision diffs; novel multimodal grounding for document agents
2026-07-16 Concept-Guided Spatial Regularization for World Models in Atari Pong
2026-07-16 Reachability-Aware Pretraining for Efficient Target-Oriented Path Exploration in Temporal Knowledge Graph Reasoning
2026-07-16 RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems
2026-07-16 Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition
2026-07-16 An Intelligent-Cloud Edge Multimodal Interaction System for Robots
2026-07-16 Knowing You at First Glance: Inferring Apparent Personality from Faces
2026-07-16 Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning 4k+ example study proving reviewer precision decoupled from critique uptake — breaks a core MAS design assumption
2026-07-16 Coercion and Deception in AI-to-AI Management: An Agentic Benchmark of Unprompted Escalation First benchmark of unprompted coercion/deception in AI-to-AI authority chains; critical safety signal for orchestrators
2026-07-16 Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents Singer (Harvard); reframes security-agent eval as cost-aware rather than peak-capability — changes how benchmarks are designed
2026-07-16 Do Coding Agents Need Executable World Models, Simplification, and Verification to Solve ARC-AGI-3? Ablates ARC-AGI-3 agent components (world model, simplification, verification); direct scaffold design signal
2026-07-15 Early Adoption of Agentic Coding Tools by GitHub Projects KDD 2026
2026-07-15 Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling KDD 2026
2026-07-15 AI-accelerated End-to-End Framework for Rapid Professional Upskilling
2026-07-15 Rethinking Penetration Testing for AI-Enabled Systems: From Resource Compromise to Behavioral Objective Violation
2026-07-15 Do Agent Optimizers Compound? A Continual-Learning Evaluation on Terminal-Bench 2.0
2026-07-15 Lyapunov Exponent as Physics-Informed Dense Reward: RL Discovery of Stabilization Beyond the Kapitza Pendulum
2026-07-15 The Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loop (DVM-HALL) Model and the Net Human-Agent Score (NHAS) in Autonomous Commerce
2026-07-15 TRACE: Turn-level Reward Assignment via Credit Estimation for Long-Horizon Agents
2026-07-15 A Self-Evolving Agent for Longitudinal Personal Health Management
2026-07-15 DeepStress: Stress-Testing Deep Search Agents
2026-07-15 Self-Evolving Agent Harnesses via Gated Semantic Quality-Diversity Self-evolving harness via quality-diversity; directly buildable; rare harness-first framing
2026-07-15 Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents Learned adaptive memory access (not fixed retrieval); novel control-process framing for agents
2026-07-15 AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities Unified, decoupled evaluation infra; addresses reproducibility gap across agent benchmarks
2026-07-15 Set-shifting Behavioral Test for Harnessed Agents Cognitive-psychology set-shifting to test harness adaptation to silent tool-reliability shifts
2026-07-15 SPyCE: Skill-Policy Co-evolution for Multimodal Agents RL skill-policy co-evolution for multimodal tool-using agents; addresses sparse reward problem
2026-07-15 CAVA: Canonical Action Verification and Attestation for Runtime Governance of Agentic AI Systems Cross-runtime action attestation; governance layer for heterogeneous agentic deployments
2026-07-15 LAPO: Leave-One-Turn Attribution for Self-Generated Process Rewards in Multi-Turn Search Reasoning Self-generated process rewards for multi-turn search; removes need for dense human annotation
2026-07-15 Reward-Free Evolving Agents via Pairwise Validator Reward-free self-evolution via pairwise validator; removes costly reward engineering from agent improvement loops
2026-07-15 KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill Self-evolving GUI agent with memory and skill accumulation; cross-platform deployment relevance
2026-07-15 ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory General robotic agent OS with lifelong multimodal memory; runtime architecture for agent harnesses
2026-07-15 CausalGraphX: A Counterfactual Graph Neural Network Framework for Explainable Systemic Risk Assessment AAAI 26
2026-07-15 Decision Making Needs Uncertainty Quantification [Lecture Notes]
2026-07-15 Cura 1T: Specialized Model for Agentic Healthcare 1T-param agentic healthcare model covering reasoning + workflow execution; applied medical AI
2026-07-15 Diagnosing and Calibrating Tool-Call Boundary Drift in Multi-Teacher On-Policy Distillation Diagnoses tool-call boundary drift in multi-teacher distillation; novel problem for agentic LM training
2026-07-14 Evidence-Grounded Verified Agentic Reasoning: A Path Toward Eliminating LLM Hallucination in Empirical Inference via Tool-Attested Kernel Proofs ICML 2026 ICML 2026; formal evidence-attestation for agentic reasoning; directly addresses hallucination in tool-using agents
2026-07-14 Speculate with Memory: Lossless Acceleration for LLM Agents Chien-Sheng Wu (Salesforce AI); memory-augmented speculative execution gives lossless agent speedup; immediately buildable
2026-07-14 Tracing Agentic Failure from the Flow of Success Sharon Li (UW-Madison); causal failure attribution in LLM agent trajectories; critical for harness debugging
2026-07-14 Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models Fill-in-the-Middle mid-training teaches models to handle tool returns; novel foundation for coding agents
2026-07-14 PM-Bench: Evaluating Prospective Memory in LLM Agents COLM 2026 COLM 2026; Saadia Gabriel; first rigorous benchmark for prospective memory in long-horizon agents
2026-07-14 Rethinking the Evaluation of Harness Evolution for Agents Exposes train/eval leakage in harness evolution benchmarks; reshapes how agent harness progress is measured
2026-07-14 Who Grades the Grader? Co-Evolving Evaluation Metrics and Skills for Self-Improving LLM Agents Self-improving agents that co-evolve their own evaluation metrics; solves the hidden-metric-assumption problem
2026-07-14 Track, Rank, Crack: Epistemic Working Memory Scales Multi-Hop Reasoning in Language Agents Epistemic working memory structure explicitly tracks confirmed/open sub-goals; scales multi-hop agent reasoning
2026-07-14 Self-Improvements in Modern Agentic Systems: A Survey First comprehensive survey on self-improving deployed agents; maps controllable evolution paradigms
2026-07-14 Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable Practical handbook for navigating/editing evolving harnesses; engineering-focused, rare artifact
2026-07-14 Do AI Agents Know When a Task Is Simple? Toward Complexity-Aware Reasoning and Execution Complexity-aware execution; reduces wasted tokens/steps in agent workflows, directly applicable
2026-07-14 PalmClaw: A Native On-Device Agent Framework for Mobile Phones Native on-device LLM agent framework for mobile; infrastructure-level, enables edge deployment of agent harnesses
2026-07-14 Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering Dual-path agentic VLM framework for misleading chart QA; concrete scaffold pattern to borrow
2026-07-14 Boogu-Image-0.1: Boosting Open-Source Unified Multimodal Understanding and Generation Open-source unified multimodal model family; strong VLM agent backbone baseline
2026-07-14 From Human-Centric to Agentic Code Review: The Impact of Different Generations of Generative AI Technology on Review Quality Empirical study of AI-driven vs human code review across gen-AI generations; quality benchmarking
2026-07-13 SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL Xiao Liu (AgentBench) group; RLVR + verifiable task synthesis for computer-use agents at scale
2026-07-13 Multi-Agent LLMs Fail to Explore Each Other Sharon Li lab; empirical proof LLM agents fail exploration — undermines multi-agent reliability assumptions
2026-07-13 Compile, Then Page: Executable SOP Programs and a Capability-Gated Runtime for Procedural LLM Agents SOPs compiled to executable pseudo-code + capability-gated stack runtime; novel procedural-agent architecture
2026-07-13 Agentic Routing: The Harness-Native Data Flywheel Positions routing as a harness-native data flywheel; directly actionable for agent harness builders
2026-07-13 STAMP: Provenance-Guided Credit Assignment for Deep Search Agents Provenance-guided credit assignment for deep-search agents; novel RL signal beyond trajectory-level scoring
2026-07-13 StructAgent: Harness Long-horizon Digital Agents with Unified Causal Structure Causal structure for long-horizon digital agents; addresses context drift in real-world computer-use tasks
2026-07-13 ToFu: A White-Box, Token-Efficient Agent Harness for Researchers White-box agent harness paper; directly buildable; token-efficiency and orchestration transparency
2026-07-13 When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems Exposes fundamental hole in per-step MAS monitors; critical for safe multi-agent deployment
2026-07-13 Agent Hacks Agent: Autoresearch for Production-Agent Red-Teaming Autoresearch red-teaming of production agents (Claude Code, Codex); automated, evolving attack pipeline
2026-07-13 AgentCheck: A Reproduce-Intervene-Mitigate Workbench for LLM Agents over MCP MCP-integrated reproduce-intervene-mitigate workbench; fills critical gap in agent failure tooling
2026-07-13 A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery Formal stack-based orchestration + lazy tool discovery; directly applicable to harness architecture
2026-07-13 MM-ToolSandBox: A Unified Framework for Evaluating Visual Tool-Calling Agents ECCV 2026; 500+-tool stateful benchmark for visual tool-calling agents; strong eval coverage
2026-07-13 The Hidden Footprint: Making Storage a First-Class Metric for LLM Agent Evaluation Introduces storage footprint as agent eval metric; novel axis overlooked by all current benchmarks
2026-07-13 The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy Roadmap for medical agent autonomy scaling; bridges VLM reasoning to clinical deployment
2026-07-13 Mako: A Self-Evolving Agentic Operating System (SE-AOS) for Autonomous Web Exploitation Self-evolving agent OS that patches its own exploit kernel at runtime; novel self-improvement paradigm
2026-07-13 Agentic Skill Optimization over Lie Algebroids Mahadevan (UMass); formal Lie algebroid framework for structured skill editing in agentic systems
2026-07-13 Token Reduction Is Not Cost Reduction Shows token reduction doesn't equal API cost reduction; counterintuitive result every agent-builder must know
2026-07-12 Towards Autonomous and Auditable Medical Imaging Model Development LLM agents autonomously run medical imaging ML pipelines; directly relevant to applied medical AI + agents
2026-07-11 GRASP: GRanularity-Aware Search Policy for Agentic RAG Adobe Research; granularity-aware search policy directly improves agentic RAG decision-making in harnesses
2026-07-10 Failure as a Process: An Anatomy of CLI Coding Agent Trajectories Earl T. Barr (UCL); empirical anatomy of coding-agent failure modes — directly actionable for harness builders
2026-07-10 KV-PRM: Efficient Process Reward Modeling via KV-Cache Transfer for Multi-Agent Test-Time Scaling KV-cache transfer for process reward models cuts TTS cost in multi-agent systems; novel efficiency mechanism
2026-07-10 Scoped Verification for Reliable Long-Horizon Agentic Context Evolution under Distribution Shift Scoped verification of mutable agentic context under distribution shift — core reliability problem for deployed harnesses
2026-07-10 ARCANA: A Reflective Multi-Agent Program Synthesis Framework for ARC-AGI-2 Reasoning Reflective multi-agent program synthesis on ARC-AGI-2; hard public benchmark with constrained test-time compute
2026-07-10 Shared Selective Persistent Memory for Agentic LLM Systems Shared selective persistent memory solves session-zero cold-start in multi-turn tool-using agents; immediately buildable
2026-07-10 Inside the Skill Market: From Software Engineering Activities to Reusable Agent Skills Jialun Cao (HKUST); formalizes reusable agent skills from SE activities — modular agent composition architecture
2026-07-10 ProofCouncil: An LLM Agent for Solving Open Mathematical Problems ETH Zurich; Planner-Worker-Verifier agent for open math problems; strong group on reasoning + formal methods
2026-07-10 LongMedBench: Benchmarking Medical Agents for Long-Horizon Clinical Decision-Making MICCAI 2026 MICCAI 2026; EHR-based long-horizon clinical agent benchmark — fills gap in medical agent evaluation beyond short-context QA
2026-07-09 Provably Optimal Learning Algorithms for Assistance Games Jordan + Stuart Russell (CHAI); provably optimal algorithms for assistance/alignment games
2026-07-09 Persuasion Attacks Can Decrease Effectiveness of CoT Monitoring DeepMind safety (Krakovna); persuasion bypasses CoT monitoring — breaks a key safety assumption
2026-07-09 TTHE: Test-Time Harness Evolution Test-time harness evolution; agent behavior shaped by harness, not just model weights — novel framing
2026-07-09 Prismata: Confining Cross-Site Prompt Injection in Web Agents Berkeley (Raluca Popa); principled confinement of cross-site prompt injection in web agents
2026-07-09 Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents Microsoft Research (Bo Peng); proactive memory surfacing for long-horizon agent trajectories
2026-07-09 Tool-Making and Self-Evolving LLM Agents in Low-Latency Systems Self-evolving agents compile SOP steps into reusable tools, cutting per-request latency
2026-07-09 SMetric: Rethink LLM Scheduling for Serving Agents with Balanced Session-centric Scheduling Session-centric LLM scheduling rethinks serving for agents vs. human request patterns
2026-07-09 CausalDS: Benchmarking Causal Reasoning in Data-Science Agents
2026-07-09 WebSwarm: Recursive Multi-Agent Orchestration for Deep-and-Wide Web Search WebSwarm recursive multi-agent orchestration for deep web search; directly buildable
2026-07-09 What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents Rate-distortion theory for agent memory compaction; principled framework for KV/context management
2026-07-09 Cognitive-structured Multimodal Agent for Multimodal Understanding, Generation, and Editing Cognitive-structured multimodal agent with selective context; addresses VLM context scaling
2026-07-09 From Prompts to Contracts: Harness Engineering for Auditable Enterprise LLM Agents Harness engineering for auditable enterprise LLM agents; contracts+source boundaries for production
2026-07-09 ProjAgent: Procedural Similarity Retrieval for Repository-Level Code Generation ProjAgent procedural similarity retrieval for repo-level codegen; practical agent tool-use
2026-07-09 GitLake: Git-for-data for the agentic lakehouse GitLake: Git-for-data agentic lakehouse; branching/versioning primitives for agent workflows
2026-07-09 TRACE: A Two-Channel Robust Attribution Watermark via Complementary Embeddings for LLM-Agent Trajectories Watermarking LLM-agent trajectories for provenance; security primitive for agent systems
2026-07-09 Token-Flow Firewall: Semantic Runtime Auditing for Persistent AI Agents Token-Flow Firewall: semantic runtime auditing for persistent agents — directly addresses agent safety/security in long-lived systems
2026-07-09 UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks UniClawBench: universal benchmark for proactive agents on real-world tasks — fills evaluation gap for agentic systems
2026-07-09 Playing ZendoWorld: Challenging AI Agents on Active Visual Concept Induction ZendoWorld: active visual concept induction benchmark — tests hypothesis-forming and experiment-designing agents
2026-07-09 From Legacy Documentation to OSCAL: An MCP-Based Agent Pipeline for Threat-Informed Continuous Compliance in Critical Infrastructure MCP-based multi-agent pipeline for compliance — concrete agentic scaffold on Model Context Protocol for critical infrastructure
2026-07-09 Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination Game-theoretic multi-agent framework reduces hallucination in lightweight LLMs — practical for agent reliability
2026-07-09 Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows Semantic persistence for LLM workflows via Lisp-based representation — novel knowledge layer for tool-using agents
2026-07-09 Aleena: Alignment Agent for Research Software Engineering Collaborations KDD 26 KDD 26 alignment agent for research software engineering — spans multi-channel collaboration context for agent integration
2026-07-09 Open-ended Multi-agent Autocurricula via Visual Inspection of Policies with Multi-modal LLMs LLM-as-evaluator for open-ended RL curricula; directly advances auto-curriculum design for agentic systems
2026-07-09 Multi-Agent Firewall Architecture for Privacy Protection of Sensitive Data in Interactions with Language Models Multi-agent firewall for LLM privacy; practical open-source architecture for safe agentic deployments
2026-07-09 AutoPersonas: A Multi-Timescale Loop Engine for Open-Ended Persona Evolution Novel self-locking failure mode diagnosis in long-running persona agents; multi-timescale loop engine
2026-07-09 Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning Multi-modal, multi-environment reward learning; addresses alignment robustness for deployed agents
2026-07-09 MASTE: A Multi-Agent Pipeline for Zero-Shot Aspect Sentiment Triplet Extraction Zero-shot triplet extraction via multi-agent pipeline; shows LLM agent decomposition for structured NLP
2026-07-09 WCog-VLA: A Dual-Level World-Cognitive Vision-Language-Action Model for End-to-End Autonomous Driving VLA model with dual-level world cognition for autonomous driving; advances proactive agent architectures
2026-07-09 ASMR: Agentic Schema Generation for Ship Maintenance Report Writing Agentic schema discovery from unstructured reports; generalizable zero-shot schema generation approach
2026-07-09 Out of Sight: Compression-Aware Content Protection against Agentic Crawlers Novel threat surface analysis for agentic crawlers; content protection against reasoning-capable LLM agents
2026-07-09 Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Long-horizon terminal benchmark with dense reward grading; raises bar beyond final-outcome-only agent evals
2026-07-09 GATS: Graph-Augmented Tree Search with Layered World Models for Efficient Agent Planning Graph-augmented tree search with world models cuts LLM calls vs LATS/ReAct; concrete efficiency vs strong baselines
2026-07-09 Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation Agentic visual generation with evolving knowledge boundary; directly applicable to VLM agent building
2026-07-08 Multi-Agent AI Control: Distributed Attacks Hamper Per-Instance Monitors NEURIPS NeurIPS; DeepMind-adjacent; extends AI control to realistic distributed multi-agent deployments
2026-07-08 The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI Empirically frames how orchestration design drives token cost; directly actionable for harness builders
2026-07-08 Predicting LLM Safety Before Release by Simulating Deployment DeepMind/AISI team; converts safety evals to deployment-realistic simulation; novel methodology
2026-07-08 Agentic Data Environments Jerry Liu co-author; foundational framework for irreversibility risks in agentic automation
2026-07-08 Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning Jie Tang/Yuxiao Dong group; async RL eliminates synchronization bottleneck for long-horizon agents
2026-07-08 From Noisy Traces to Root Causes: Structural Trajectory Analysis and Causal Extraction for Agent Optimization Causal extraction from noisy agent traces; directly improves long-horizon agent optimization
2026-07-08 From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents Alibaba DAMO group; converts atomic tool calls to SOPs; buildable self-evolving system
2026-07-08 Infinite Worlds with Versatile Interactions
2026-07-08 Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems COLM 2026 COLM 2026; systematic failure localization framework for multi-agent LLM pipelines
2026-07-08 Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE Song Han + Han Cai (MIT efficient-ML); dynamic long-context RoPE critical for agentic trace lengths
2026-07-08 DeepSWE: Measuring Frontier Coding Agents on Original, Long-Horizon Engineering Tasks DeepSWE: original long-horizon coding benchmark without data-leakage from GitHub mining
2026-07-08 Agentic Neural Architecture Search Agentic NAS: LLMs autonomously design+expand search spaces; novel meta-agent loop
2026-07-08 3100 Opinions on Code Review in an AI World: Building Causal Theory from Practitioner Discourse 3100-practitioner causal study on AI coding agents and code review; grounded empirical signal
2026-07-08 Multi-agent Autoformalization of Tensor Network Theory Multi-agent autoformalization of physics theory; demonstrates frontier agent capability on formal reasoning
2026-07-08 When Does Continual Learning Require Learning Challenges framing of continual learning for LLMs — argues beyond context management, relevant to long-lived agents
2026-07-08 Feedback Manipulation Regularization: Enabling Offline Agent Alignment for Imitation Learning Offline agent alignment via imitation learning regularization — addresses feedback manipulation in agent training
2026-07-08 A Reliability Assessment of LALM Audio Judges for Full-Duplex Voice Agents Empirical reliability of audio LLM judges for full-duplex voice agents — evaluation methodology for conversational agents
2026-07-08 Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting RAG + agentic AI in regulated decision workflows; concrete production system design with actuarial grounding
2026-07-08 From Triggers to Emotions: A CPM-Grounded Appraisal Multi-Agent for Dynamic Emotional Evolution in Persona-Based Dialogue CPM-grounded multi-agent emotional appraisal; advances persona dialogue agents for healthcare/counseling
2026-07-08 Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation
2026-07-08 DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment Self-distillation from own trajectories in verifiable env; directly applicable to agent training pipelines
2026-07-07 Unicode TAG-Block Concealment of Tool-Metadata Payloads in the Model Context Protocol: An Approval-View Fidelity Gap Across Three Independent Server Implementations Concrete approval-view fidelity gap in MCP across 3 implementations; critical for harness builders
2026-07-07 Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade Probe cascade detects doomed trajectories early; direct compute savings in deployed agentic systems
2026-07-07 CurateEvo: Data-Curation Evolving for Agentic Post-Training Dynamic data curation evolving during agentic post-training; fixes fixed-preprocessing bottleneck
2026-07-07 Information Gain-based Rollout Policy Optimization: An Adaptive Tree-Structured Rollout Approach for Multi-Turn LLM Agents Tree-structured information-gain rollout for RL on multi-turn LLM agents; novel optimization signal
2026-07-07 From Passive Retrieval to Active Memory Navigation: Learning to Use Memory as a Structured Action Space Reframes memory from passive retrieval to structured action space; novel architecture for conversational agents
2026-07-07 StateFuse: Deterministic Conflict-Preserving Memory for Multi-Agent Systems Deterministic conflict-preserving memory for multi-agent systems; fixes silent overwrite in distributed agents
2026-07-07 TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training Turn-aware on-policy distillation for long-horizon agents; directly improves student training efficiency
2026-07-07 The Balkanization of Execution-Security Research for AI Coding Agents: Isolation, Access Control, and Time-of-Check-to-Time-of-Use Vulnerabilities First taxonomy of isolation, access control, TOCTOU vulnerabilities across AI coding agent execution layers
2026-07-07 Controlling Tool Use with Heading-Specific Activation Steering Activation steering for tool-use decisions; mechanistic handle to suppress spurious tool calls
2026-07-07 Beyond the Leaderboard: A Synthesis of Tool-Use, Planning, and Reasoning Failures in Large Language Model Agents Practitioner synthesis of tool-use, planning, reasoning failure modes — actionable diagnostic for agent builders
2026-07-07 Bridging Physical Reasoning and Task Generalization via Visual Action Outcome Reasoning Alignment ICML 26 ICML 2026; VLM physical-reasoning alignment with grounded CoT — strong venue, directly relevant to VLM agent scaffolding
2026-07-07 SearchEyes: Towards Frontier Multimodal Deep Search Intelligence via Search World Simulation Unified training-data, search-env, and reward for multimodal search agents via world simulation — end-to-end recipe
2026-07-07 Danus: Orchestrating Mathematical Reasoning Agents with Fact-Graph Memory Fact-Graph Memory for orchestrating multi-agent mathematical reasoning — structured memory for long-horizon agents
2026-07-07 When Does Tool Use Increase the Expressive Power of Finite-Precision Recurrent Models? ETH Zurich; formal account of when tool use expands expressivity of sequence models — theoretical grounding for tool-augmented agents
2026-07-07 Beyond Static Evaluation: Building Simulation Environments for Scalable Agentic Reinforcement Learning API+UI RL gym decoupling environment from policy — scalable evaluation infrastructure for agentic RL
2026-07-07 When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems ICML 2026 ICML 2026; activation-based MAS security from Lei Ma's group; novel detection paradigm
2026-07-07 SWE-Review: Closing the Loop on Issue Resolution with Agentic Code Review SWE-bench lineage; closes open-loop PR generation with agentic review-revise cycle
2026-07-07 Cost-Effective Agent Harnesses for Abstract Reasoning and Generalization on ARC-AGI-1 Directly about cost-effective harnesses; competitive on ARC-AGI-1 without frontier-scale compute
2026-07-07 Behavioral Privacy Leakage in Agentic Negotiation: Formalizing and Mitigating Inference Attacks via Randomized Policies
2026-07-06 STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training ACL 2026 ACL 2026; STAPO tackles trajectory neglect in sparse-reward RL—core agent training failure mode
2026-07-06 Multi-Turn On-Policy Distillation with Prefix Replay Li Dong (MSR); multi-turn on-policy distillation with prefix replay; practical for agentic student training
2026-07-06 FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents Planning-layer poisoning of deep research agents; novel attack surface, directly relevant to harness builders
2026-07-06 When Agents Lie: Premeditation, Persistence, and Exploitation in Repeated Games ICML ICML; Schölkopf + Conitzer; first rigorous study of agent deception and commitment in repeated games
2026-07-06 Untrusted Content Masking for Web Agents with Security Guarantees Formal security guarantees against prompt injection for web agents; Jagielski (Google); directly buildable
2026-07-06 CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents CompactionRL solves finite-context failure in long-horizon agents; Jie Tang + Yuxiao Dong (THU)
2026-07-06 MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolution Two-timescale meta-skill evolution for recursive self-improvement; Volker Tresp; novel agent architecture
2026-07-06 A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-Training ICML 2026 ICML 2026; on-policy data augmentation via teacher steps; practical post-training recipe for agents
2026-07-06 AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments ACL 2026 ACL 2026; de-idealized real-world agent benchmark; addresses gap between lab and production evaluation
2026-07-06 When Claws Remember but Do Not Tell: Stealthy Memory Injection in Persistent Personal Agents Stealthy memory injection attack on persistent agents; Gelei Deng; novel threat model for harness builders
2026-07-06 RSPO: Reward-Swap Policy Optimization for Multi-Turn LLM Agents Reward-swap policy optimization for sparse multi-turn agent RL; directly applicable training method
2026-07-06 Agent Data Injection Attacks are Realistic Threats to AI Agents Data injection attacks beyond prompt injection; Luyi Xing (UIUC); realistic threat coverage for agent pipelines
2026-07-06 Formal Disco: Scalable Open-Ended Generation of Formally Verified Programs Formal Disco: AI agents generating formally verified code at scale; Poesia (Stanford) + Yilun Du (MIT)
2026-07-06 LLM-as-a-Verifier: A General-Purpose Verification Framework Positions verification as new first-class scaling axis alongside pre-training/RLHF/test-time compute
2026-07-06 GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks Berkeley robotics (Fu, Yu); graph-as-policy multi-agent self-learning harness directly builds on agent-harness architecture
2026-07-06 Memory in the Loop: In-Process Retrieval as ExtendedWorking Memory for Language Agents Novel architecture: memory inside the reasoning loop, read/written every step — changes how to design agent working memory
2026-07-06 Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term Memory Reflex vs. reasoning trade-off in agentic video understanding with long-term memory — multimodal agent design signal
2026-07-06 TREK: Distill to Explore, Reinforce to Refine TREK fixes GRPO stalling on hard prompts via distillation-guided exploration — directly improves agent RL training
2026-07-06 HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better
2026-07-06 Unified Audio Intelligence Without Regressing on Text Intelligence
2026-07-05 Measuring Harness-Induced Belief Divergence in Multi-Step LLM Agents Directly measures how harness design (context/actions/repair) distorts agent beliefs; unique eval angle
2026-07-03 SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe
2026-07-03 Bibby AI: An Editor-Native Agentic Platform for Academic Research, Writing, and Publishing
2026-07-03 Spectral Rewiring for Exploration, Purification, and Model Merging Spectral rewiring addresses RL post-training saturation and model merging for agent capability preservation
2026-07-02 Atomic Task Graph: A Unified Framework for Agentic Planning and Execution Novel unified planning framework (Atomic Task Graph) directly applicable to agent harness scaffolding
2026-07-02 PACE: A Proxy for Agentic Capability Evaluation PACE: cheap proxy replacing expensive SWE-Bench/GAIA evals — major practical win for agent builders
2026-07-02 Grounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier computational physics ICML 2026 ICML 2026; end-to-end fault-tolerant LLM pipeline doing autonomous research in frontier physics
2026-07-02 Safety Testing LLM Agents at Scale: From Risk Discovery to Evidence-Grounded Verification Scalable safety testing framework for tool-using agents — risk discovery + evidence-grounded verification
2026-07-02 Distributed Attacks in Persistent-State AI Control Novel persistent-state attack surface for coding agents; critical for secure agent harness design
2026-07-02 Repair the Amplifier, Not the Symptom: Stable World-Model Correction for Agent Rollouts Targeted world-model correction for long-horizon agent rollouts — addresses planning graph failure modes
2026-07-02 Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction Repo-scale vulnerability reproduction agent with strategy-grounded learning — strong SE+agent benchmark
2026-07-02 A-TMA: Decoupling State-Aware Memory Failures in Long-Term Agent Memory Ghost memory state-coordination failures in long-term agent memory — concrete buildable fix
2026-07-02 AgenticDataBench: A Comprehensive Benchmark for Data Agents Comprehensive benchmark for data agents across heterogeneous tasks — strong DB group (Tsinghua)
2026-07-02 PairCoder++: Pair Programming as a Universal Paradigm for Verified Code-Driven Multimodal and Structured-Artifact Generation ACL 2026 ACL 2026; pair programming paradigm for verified code-driven multimodal artifact generation
2026-07-02 AgenticSTS: A Bounded-Memory Testbed for Long-Horizon LLM Agents
2026-07-02 EvoPolicyGym: Evaluating Autonomous Policy Evolution in Interactive Environments
2026-07-02 SkillCoach: Self-Evolving Rubrics for Evaluating and Enhancing Agentic Skill-Use
2026-07-02 Steerability via constraints: a substrate for scalable oversight of coding agents Constraints-as-steerability framing for scalable human oversight of coding agents
2026-07-02 Reasoning effort, not tool access, buys first-try reliability in agentic code generation: an observational study Empirical: reasoning effort beats tool access for agentic code reliability
2026-07-02 Coding-agents can replicate scientific machine learning papers Coding agents replicating SciML papers; concrete agentic capability benchmark
2026-07-02 ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair Token-efficient context memory for repo-level agent repair; practical harness insight
2026-07-02 ElephantAgent: Contextual State Continuity in Agentic Systems Attack surfaces from tool/memory poisoning in agentic systems; security-critical
2026-07-02 Episodic-to-Semantic Consolidation Without Identity Drift Episodic-to-semantic memory consolidation without identity drift for long-running agents
2026-07-02 SkillFuzz: Fuzzing Skill Composition for Implicit Intents Discovery in Open Skill Marketplaces Skill composition fuzzing reveals implicit intents/vulnerabilities in open skill marketplaces
2026-07-02 SimWorlds: A Multi-Agent System for Dynamic 3D Scene Creation Multi-agent LLM system for dynamic 4D scene creation; agentic orchestration at scale
2026-07-02 Understanding Agent-Based Patching of Compiler Missed Optimizations Agent-based patching of compiler missed optimizations; novel agentic coding application
2026-07-02 CausalSteward: An Agentic Divide-Conquer-Combine Copilot for Causal Discovery Agentic divide-conquer-combine for causal discovery; practical copilot pattern
2026-07-02 Path-level Hindsight Instructions for Semantic Exploration in Vision-Language Navigation ECCV 2026 ECCV 2026; Honglak Lee group; hindsight path instructions for on-policy VLN exploration
2026-07-02 Prompt Coverage Adequacy Mark Harman (Meta/UCL); prompt coverage as testing primitive for LLM/agent pipelines
2026-07-02 CLAP: Closed-Loop Training, Evaluation, and Release Control for Domain Agent Post-training Closed-loop post-training + offline/online mismatch fix; directly buildable domain-agent recipe
2026-07-02 Lynx: Progressive Speculative Quantization for accelerating KV Transfer in Long-Context Inference Speculative quantization cuts KV-transfer cost in disaggregated long-context agentic serving
2026-07-02 ContextNest: Verifiable Context Governance for Autonomous AI Agent Gabe Goodhart (Anthropic) co-author; verifiable provenance/version governance for agent RAG
2026-07-02 What LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent Debates Empirical: social structure alone induces latent objectives in multi-agent LLM debates
2026-07-02 Behind the Refusal: Determining Guardrail Activation via Behavioral Monitoring Behavioral side-channel detects guardrail activation without model internals access
2026-07-02 UA-ChatDev: Uncertainty-Aware Multi-Agent Collaboration for Reliable Software Development Uncertainty-aware role collaboration in multi-agent software dev; addresses reliability gap
2026-07-02 Decoupling Code Complexity from Newcomer Participation: A Causal Study of AI Coding Agent Adoption in OSS Causal RDD study on how AI coding agents affect OSS newcomer participation
2026-07-02 TestEvo-Bench: An Executable and Live Benchmark for Test and Code Co-Evolution Executable live benchmark for test-code co-evolution; targets coding-agent eval gap
2026-07-02 A\(^{2}\)utoLPBench: An Auto-Generated, Agent-Friendly LP Benchmark via Inverse-KKT Construction Auto-generated LP benchmark via inverse-KKT; addresses contamination and difficulty control for LLM evals
2026-07-02 Object Aligner: A Configurable JSON Schema Similarity Score for Graphs, Applied to LLM Prompt Optimization Configurable JSON schema similarity metric directly applicable to tool-calling and agentic planning evaluation
2026-07-02 Bringing Agentic Search to Earth Observation Data Discovery Deployed agentic search over NASA geoscience data; concrete real-world agentic retrieval system
2026-07-02 Hardware-Enforced Semantic Coordination for Safety-Critical Real-Time Autonomous Systems Hardware-enforced semantic coordination for safety-critical agentic systems; novel runtime safety architecture
2026-07-02 MMBench-Live: A Continuously Evolving Benchmark for Multimodal Models Continuously evolving VLM benchmark addressing contamination; directly relevant to agent evaluation infrastructure
2026-07-02 Copewell: A Multi-Agent Swarm Architecture for Equitable Mental Wellness Support Multi-agent swarm architecture for mental wellness; practical multi-agent system with equity framing
2026-07-02 Full Bayesian Reinforcement Learning via LF-IBIS Full Bayesian RL via LF-IBIS; principled uncertainty-aware agent learning with sequential decision-making
2026-07-02 Criticality-Based Guard Rail Validation for AI Agent Decisions in Autonomous Telecom Networks Runtime guardrail validation for autonomous AI agents in telecom; criticality-aware safety enforcement pattern
2026-07-02 HULAT2 at MER-TRANS 2026: Governed Multi-Agent Simplification for Spanish Easy-to-Read Generation LangGraph-based multi-agent pipeline for text simplification; reusable agentic NLP scaffold pattern
2026-07-02 Controllable Sim Agents with Behavior Latents Controllable sim agents with behavior latents; interpretable steering axes for traffic agent simulation
2026-07-02 Reasoning LLM Improves Speaker Recognition in Long-form TV Dramas ICML 2026
2026-07-02 Language Models as Measurement Apparatus for Culture ACL 2026
2026-07-02 QFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition
2026-07-02 HaloGuard 1.0: An Open Weights Constitutional Classifier for Multilingual AI Safety
2026-07-02 Traceable Fault Diagnosis for Battery Energy Storage Systems via Retrieval-Augmented Multi-Agent O&M Assistant
2026-07-02 Beyond Supervised Clarification: Input Rewriting with LLMs for Dialogue Discourse Parsing
2026-07-02 AI Virtue: What is "Good" Knowledge in the Age of Artificial Intelligence?
2026-07-02 Decentralized Stochastic Subgradient-type Methods with Communication Compression for Nonsmooth Nonconvex Optimization
2026-07-02 Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training
2026-07-01 VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement
2026-07-01 RepoRescue: An Empirical Study of LLM Agents on Whole-Repository Compatibility Rescue
2026-07-01 Autonomous Scientific Discovery via Iterative Meta-Reflection
2026-07-01 Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising
2026-07-01 When Classic Cache Policies Fail: Learning-Augmented Replacement for Semantic Retrieval Buffers
2026-07-01 Multi-Turn Agentic Scientific Literature Search via Workflow Induction

June 2026 (106)

Date Paper Venue Why selected
2026-06-30 ClawArena-Team: Benchmarking Subagent Orchestration and Dynamic Workflows in Language-Model Agents Subagent orchestration benchmark; Cihang Xie group; directly targets agent harness patterns
2026-06-30 One Reflection Is Not Enough: Self-Correcting Autonomous Research via Multi-Hypothesis Failure Attribution Multi-hypothesis failure recovery for AI Scientist; solves core brittleness in autonomous research
2026-06-30 ReGRPO: Reflection-Augmented Policy Optimization for Tool-Using Agents ReGRPO for tool-use VLMs; reflection+policy optimization is the timely RL-for-agents paradigm
2026-06-30 TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning Credit assignment for agentic RL; fundamental GRPO limitation with sparse outcome rewards
2026-06-30 FARS: A Fully Automated Research System Deployed at Scale Fully automated research deployed at scale; shows AI Scientist beyond curated demos
2026-06-30 QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Dense rewards cheaply for long-horizon agents; practical enabler for RL training
2026-06-30 AutoTrainess: Teaching Language Models to Improve Language Models Autonomously Autonomous LM self-improvement via agentic loops; reduces human bottleneck in training
2026-06-30 Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents ECCV 2026 ECCV 2026; inference-time self-improvement for computer-use; Schmidt and Yeung-Levy groups
2026-06-30 HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents Healthcare agent benchmark (54 envs); MS Research; rigorous domain evaluation
2026-06-30 Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action ToM evaluation beyond passive QA; planning-based assessment for autonomous agents
2026-06-30 DataEvolver: Self-Evolving Multi-Agent Data Construction for Text-Rich Image Generation
2026-06-30 Xiaomi-GUI-0 Technical Report
2026-06-30 ASPIRE: Agentic /Skills Discovery for Robotics
2026-06-30 AtomiMed: Hierarchical Atomic Fact-Checking for Universal Clinical-Aware Medical Report Evaluation
2026-06-30 Securing the AI Agent: A Unified Framework for Multi-Layer Agent Red Teaming
2026-06-30 Teaching LLMs to Recommend and Defer in Underrepresented Epilepsy Care
2026-06-29 Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent
2026-06-29 TACO: Tool-Augmented Credit Optimization for Agentic Tool Use
2026-06-29 SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions
2026-06-28 Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction
2026-06-28 PolicyGuard: A Dialogue-Grounded Sub-Agent Verifier for Policy Adherence in LLM Agents
2026-06-28 Hierarchical Experimentalist Agents
2026-06-27 Agentic Abstention: Do Agents Know When to Stop Instead of Act?
2026-06-26 Towards Automating Scientific Review with Google's Paper Assistant Tool Google DeepMind (Cortes, Woodruff, Matias); automating peer review at scale with LLM agents
2026-06-26 LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior ICML 2026 ICML 2026; Chuang Gan (MIT-IBM); learning cooperation laws for decentralized embodied multi-agent systems
2026-06-26 Tandem Reinforcement Learning with Verifiable Rewards Tandem RLVR: Robert West (EPFL); extends verifiable-reward RL to weaker models—critical scalability question
2026-06-26 ATOD: Annealed Turn-aware On-policy Distillation for Multi-turn Autonomous Agents Annealed on-policy distillation for multi-turn agents; practical recipe for training small long-horizon agents
2026-06-26 Agentic Hardware Design as Repository-Level Code Evolution NVIDIA (Khailany); hardware design as repo-level code evolution—novel agentic framework with executable evaluator
2026-06-26 When Search Agents Should Ask: DiscoBench for Clarification-Aware Deep Search Clarification-aware deep search benchmark; underexplored but critical for production search-agent reliability
2026-06-26 HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration ECCV 2026
2026-06-26 CPAgents: Agentic Composite Phenotype Generation for Cardiac Disease Association MICCAI 2026
2026-06-26 Agent-Native Immune System: Architecture, Taxonomy, and Engineering
2026-06-26 Govern the Repository, Not the Agent: Measuring Ecosystem-Level Risk in AI-Native Software
2026-06-26 Towards Value-Constrained Credit Assignment in Fully Delegated AI Cooperatives
2026-06-26 ToolPrivacyBench: Benchmarking Purpose-Bound Privacy in Tool-Using LLM Agents
2026-06-26 From Detection to Action: Using LLM Agents for Fault-Tolerant Control
2026-06-26 Dialogue to Detection: A Multimodal Hybrid NLP Pipeline for Insurance Fraud Detection
2026-06-26 ProMSA:Progressive Multimodal Search Agents for Knowledge-Based Visual Question Answering
2026-06-26 AI Persuasive Framing in Collective Dilemmas
2026-06-26 GBC: Gradient-Based Connections for Optimizing Multi-Agent Systems
2026-06-26 RocketSmith: Agentic Additive Manufacturing of High-Powered Rockets
2026-06-26 Dockerless: Environment-Free Program Verifier for Coding Agents
2026-06-25 Autoformalization of Agent Instructions into Policy-as-Code ICML 2026 ICML 2026; first formal Policy-as-Code autoformalization for agent safety with hard guarantees
2026-06-25 When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models Co-failure ceiling theorem fundamentally bounds routing/voting/MoA gain across 67 frontier models
2026-06-25 Localizing RL-Induced Tool Use to a Single Crosscoder Feature ICML 2026 ICML 2026; mechanistic localization of RL-induced tool use to single crosscoder feature
2026-06-25 ShareLock: A Stealthy Multi-Tool Threshold Poisoning Attack Against MCP Threshold poisoning attack on MCP multi-tool chains; directly threatens harness security
2026-06-25 Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning ACL 2026 ACL 2026; GUI agents with autonomous hindsight experience for planning in open-source MLLMs
2026-06-25 OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning On-policy skill distillation adds dense signal to sparse outcome-based RL for language agents
2026-06-25 Joint Learning of Experiential Rules and Policies for Large Language Model Agents Unified framework jointly learning in-context rules and parametric policies from agent experience
2026-06-25 Diagnosing Task Insensitivity in Language Agents Diagnoses task insensitivity as key OOD failure mode in long-horizon LLM agents
2026-06-25 Adaptive Evaluation of Out-of-Band Defenses Against Prompt Injection in LLM Agents Adaptive red-teaming evaluation framework for out-of-band prompt-injection defenses in tool agents
2026-06-25 SKILL-DISCO: Distilling and Compiling Agent Traces into Reusable Procedural Skills Compiles agent execution traces into reusable typed skills; directly cuts inference cost
2026-06-25 Chai: Agentic Discovery of Cryptographic Misuse Vulnerabilities Berkeley/Popa group; agentic crypto-misuse detection; closed-loop vulnerability discovery
2026-06-25 Where Do CoT Training Gains Land in LLM based Agents? Empirically audits where CoT training gains land in agents; challenges faithfulness assumptions
2026-06-25 A Process Harness for Uplifting Legacy Workflows to Agentic BPM: Design and Realization in CUGA FLO Process harness wraps legacy workflows with policy-governed agentic layer without engine replacement
2026-06-25 Semantic Early-Stopping for Iterative LLM Agent Loops Replaces fixed iteration cap with semantic convergence signal; drop-in for any Writer-Critic loop
2026-06-25 Memory Depth, Not Memory Access: Selective Parametric Consolidation for Long-Running Language Agents Distinguishes memory access from parametric consolidation; novel framing for long-running agents
2026-06-25 The Capability Frontier: Benchmarks Miss 82% of Model Performance Benchmarks miss 82% of capability; challenges eval methodology for agent harness builders
2026-06-25 Running the Gauntlet: Re-evaluating the Capabilities of Agents Beyond Familiar Environments Stress-tests agents outside familiar apps; exposes generalisation gaps in current benchmarks
2026-06-25 OpenRCA 2.0: From Outcome Labels to Causal Process Supervision OpenRCA 2.0 adds causal process supervision labels; stronger eval signal for multi-step reasoning
2026-06-25 Parametric Open Source Games ICML ICML; continuous parametric extension of open-source games; rigorous theory for inter-agent dependencies
2026-06-25 Socratic agents for autonomous scientific discovery in high-dimensional physical systems Pengfei Liu; Socratic closed-loop agents autonomously discover scientific laws in physical systems
2026-06-25 A Deterministic Control Plane for LLM Coding Agents 10k-repo empirical study; deterministic control plane for LLM coding agent config management
2026-06-25 Humans Disengage, Reasoning Models Persist: Separating Difficulty Registration from Deliberation Allocation LRMs spend more tokens on wrong answers—opposite to human disengagement; rethinks agent eval
2026-06-25 Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge Temporal validity for RAG memory; stale-fact elimination critical for deployed agent correctness
2026-06-25 MIRROR: Novelty-Constrained Memory-Guided MCTS Red-Teaming for Agentic RAG MCTS red-teaming for multimodal agentic RAG; novel attack taxonomy across orchestrator layers
2026-06-25 Confidence-Aware Tool Orchestration for Robust Video Understanding Confidence-aware tool orchestration; solves blind trust problem in video agents under perturbations
2026-06-25 Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation Qwen team; context gap in real-world image generation; agentic retrieval and reasoning solution
2026-06-25 EGG: An Expert-Guided Agent Framework for Kernel Generation Expert-guided agent for kernel generation; structured domain knowledge meets LLM code synthesis
2026-06-25 Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy Unified cyber+physical orchestration for embodied agents; recovery from physical failures
2026-06-25 AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems Industrial closed-loop agent self-iterating recommender systems; idea-to-launch automation
2026-06-25 Perception, Verdict, and Evolution: Hindsight-Driven Self-Refining Forensics Agent for AI-Generated Image Detection DAMO/Alibaba; self-refining forensics agent with hindsight-driven evolution; novel refinement loop
2026-06-25 Empirical Software Engineering TerraProbe: A Layered-Oracle Framework for Detecting Deceptive Fixes in LLM-Assisted Terraform Layered-oracle framework catching deceptive LLM fixes in IaC; rigorous agent eval methodology directly applicable to harness testing
2026-06-25 EvoOptiGraph: Weakness-Driven Coevolution via Graph-Based Structural Generation for Optimization Modeling Weakness-driven coevolution loop for LLM optimization modeling; self-improving agentic pipeline with structural diversity generation
2026-06-25 Improving General Role-Playing Agents via Psychology-Grounded Reasoning and Role-Aware Policy Optimization Psychology-grounded reasoning + role-aware policy optimization; moves beyond SFT mimicry for general-purpose persona agents
2026-06-25 The Spec Growth Engine: Spec-Anchored, Code-Coupled, Drift-Enforced Architecture for AI-Assisted Software Development Spec-anchored coding agent architecture tackling context explosion and drift; directly applicable to long-session agent harnesses
2026-06-25 Automating Potential-based Reward Shaping with Vision Language Model Guidance Automates reward shaping via VLM potential functions; practical RL agent improvement without dense human annotation
2026-06-25 IDEA: Insensitive to Dynamics Mismatch via Effect Alignment for Sim-to-Real Transfer in Multi-Agent Control Effect-alignment for sim-to-real in multi-agent control; addresses dynamics mismatch without policy retraining
2026-06-25 HiLSVA: Design and Evaluation of a Human-in-the-Loop Agentic System for Scientific Visualization HITL agentic system design prioritizing transparency over autonomy; concrete design lessons for human-in-loop harnesses
2026-06-25 Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents Data-centric survey of privacy across all LLM agent components (memory, APIs, actions); practical threat taxonomy for builders
2026-06-25 Bridging Talk and Thought: Understanding Dialogue Dynamics Across Collaborative Problem-Solving Contexts
2026-06-25 State Representation Matters in Deep Reinforcement Learning: Application to Energy Trading
2026-06-25 Adaptive Utility driven Resource Orchestration for Resilient AI (AURORA-AI)
2026-06-25 Content-Based Smart E-Mail Dispatcher Using Large Language Models
2026-06-25 scBench-Long: Verifiable Benchmarking of Long-Horizon Single-Cell Biology
2026-06-25 Theory-Scale Auto-Formalization of Logics for Computer Science
2026-06-25 Radical AI Interpretability
2026-06-25 Boundary-Aware Context Grounding for A Low-Channel EEG Agent
2026-06-25 NeuraDock Visual Cognitive Load Agent Tutorial: A Quality-Gated Open-Source EEG Workflow for Alpha Dynamics and Real-Time Applications
2026-06-25 Internalizing the Future: A Unified Agentic Training Paradigm for World Model Planning Unified agentic training for world-model planning; addresses core LLM agent reactive failure in long-horizon tasks
2026-06-25 Supersede: Diagnosing and Training the Memory-Update Gap in LLM Agents Memory-update gap benchmark+training; directly addresses multi-session fact-staleness in deployed agents
2026-06-25 DMV-Bench: Diagnosing Long-Horizon Multimodal Agents' Visual Memory with Incidental Cue Injection Visual memory benchmark for multimodal agents; fills gap between text-memory evals and real embodied perception
2026-06-24 Semantic Consistency Policy Optimization for Reinforcement Learning of LLM Agents EMNLP 2026 EMNLP 2026; semantic consistency resolves step-level credit assignment in sparse-reward agentic RL
2026-06-24 AI translation of literary texts is "fine", but readers still prefer human translations
2026-06-23 SAFARI: Scaling Long Horizon Agentic Fault Attribution via Active Investigation ICML 2026 ICML 2026; fault attribution for long-horizon multi-agent failures beyond context window
2026-06-23 World Models in Pieces: Structural Certification for General Agents ICML 2026 ICML 2026; structural certification showing inevitable agent specialization; challenges uniform guarantees
2026-06-19 BioInsight: Multi-Agent Orchestration for Interactive Biomedical Knowledge Discovery
2026-06-18 Beyond Static Endpoints: Tool Programs as an Interface for Flexible Agentic Web Services ICML 2026 ICML 2026; rethinks tool interfaces for long-horizon agentic web workflows
2026-06-17 Stealthy World Model Manipulation via Data Poisoning NEURIPS 2026 NeurIPS 2026; first systematic poisoning attack on model-based RL world models
2026-06-17 Native Active Perception as Reasoning for Omni-Modal Understanding ICML 2026 ICML 2026; active-perception reasoning cuts compute for long-video agents
2026-06-16 Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning ICML 2026 ICML 2026; training-free verbal RL lets agents learn directly from world feedback
2026-06-16 Visuals Lie, Consistency Speaks: Disentangling Spatial Attention from Reliability in Vision-Language Models ICLR 2026 ICLR 2026; debunks attention-confidence assumption critical for reliable VLM agents
2026-06-16 LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI ICML 2026
2026-06-16 PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents EMNLP 2026
2026-06-12 When the Tool Decides: LLM Agents Defer Blindly to Graph Neural Network Tools, and Stronger Backbones Defer More TMLR
2026-06-04 Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents Bryan Hooi (NUS); dynamic graph memory challenges static retrieve-then-reason paradigm fundamentally

May 2026 (13)

Date Paper Venue Why selected
2026-05-31 CARVE: Certified Affordable Repair of Vetoed Maneuvers via Envelopes for Interactive Driving
2026-05-30 Doing What They Say, Not What They Reason: Locating the Faithfulness Gap in LLM Agents COLM COLM; measures faithfulness gap between stated LLM reasoning and actual actions
2026-05-30 Same Payload, Different Channel: Measuring Trust Asymmetry in Tool-Using Language Models EMNLP 2026 EMNLP; trust asymmetry when tool outputs vs user instructions attack agents
2026-05-29 The Deterministic Horizon: When Extended Reasoning Fails and Tool Delegation Becomes Necessary ICML 2026 Theoretical: attention-capacity limits when to delegate to tools vs extend reasoning
2026-05-29 EMBGuard: Constructing Hazard-Aware Guardrails for Safe Planning in Embodied Agents ICML 2026 ICML; hazard-aware guardrails for safe action planning in embodied agents
2026-05-29 Industrializing Prediction-Powered Inference: The GLIDE Library for Reliable GenAI and Agentic Systems Evaluation ICML 2026 ICML; prediction-powered inference for statistically valid agentic system evaluation
2026-05-28 On Effectiveness and Efficiency of Agentic Tool-calling and RL Training ICML 2026 ICML; systematic study of tool-calling effectiveness and RL training tradeoffs
2026-05-28 When Cloud Agents Meet Device Agents: Lessons from Hybrid Multi-Agent Systems ICML 2026 ICML; design principles and lessons from hybrid cloud-device agent systems
2026-05-28 Does The Way You Plan Matter? An Empirical Study of Planning Representations for LLM Web Agents EMNLP Empirical study of planning representation formats for LLM web agents
2026-05-28 The Surface You Test Is Not the Surface That Breaks EMNLP Prompt injection attack surface is larger than single-vector evaluation suggests
2026-05-28 Locally Coherent, Globally Incoherent: Bounding Compositional Incoherence in Multi-Component LLM Agents ICML 2026 ICML; formal bounds on compositional incoherence in multi-component LLM agents
2026-05-28 OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents OpenSkillEval: systematic audit of open-source skill ecosystem for LLM agents
2026-05-07 Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL

April 2026 (17)

Date Paper Venue Why selected
2026-04-30 RoadMapper: A Multi-Agent System for Roadmap Generation of Solving Complex Research Problems ACL 2026 Multi-agent roadmap generation guides complex research problem solving; ACL 2026
2026-04-30 Autoformalizing Memory Specifications with Agents ICLR Agents autoformalize chip design memory specs; reduces costly design verification effort
2026-04-29 Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent KDD 2026 Long-term semantic memory from LinkedIn's production hiring agent; large-scale industry result
2026-04-29 OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory ACL 2026 Optical context retrieval encodes visual experience for long-horizon agent memory
2026-04-28 OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction ACL 2026 Production multi-agent framework with observability, modularity, evolvability; open-source
2026-04-28 FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments ACL 2026 Failure-aware recovery framework for open-source LLMs in interactive tool environments
2026-04-28 Where Did It Go Wrong? Capability-Oriented Failure Attribution for Vision-and-Language Navigation Agents ACL 2026 Capability-oriented failure attribution for VLN agents diagnoses perception and planning gaps
2026-04-27 Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate ACL 2026 Internalizes multi-agent debate via post-training; eliminates inference-time overhead
2026-04-27 DPEPO: Diverse Parallel Exploration Policy Optimization for LLM-based Agents ACL 2026 Parallel diverse exploration with policy optimization for broader agentic task coverage
2026-04-27 Dont Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination ACL Scalable enterprise deep research with evidence-aware termination; production architecture
2026-04-27 The Price of Agreement: Measuring LLM Sycophancy in Agentic Financial Applications ICLR 2026 Measures sycophancy failures in agentic financial applications; novel safety evaluation
2026-04-26 AgentEval: DAG-Structured Step-Level Evaluation for Agentic Workflows with Error Propagation Tracking ACL 2026 DAG-structured step-level evaluation with error propagation tracking for agent workflows
2026-04-26 GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs ICLR 2026 Graph-augmented agentic routing improves multi-model LLM system efficiency and accuracy
2026-04-26 Benchmarking Web Agent Safety under E-commerce Deceptive Interfaces ACL 2026 Safety benchmark for web agents under realistic e-commerce deceptive interfaces
2026-04-24 Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven Analysis ICLR 2026 Soft propositional logic stabilizes LLM agent reasoning for financial and scientific analysis
2026-04-24 PExA: Parallel Exploration Agent for Complex Text-to-SQL ACL 2026 Parallel exploration reformulates text-to-SQL as coverage-guided agentic search
2026-04-24 FormalScience: Scalable Human-in-the-Loop Autoformalisation of Science with Agentic Code Generation in Lean ACL 2026 Agents generate Lean-verified formal proofs from informal physics and math notation

March 2026 (6)

Date Paper Venue Why selected
2026-03-30 CoE: Collaborative Entropy for Uncertainty Quantification in Agentic Multi-LLM Systems ICLR ICLR; collaborative entropy for uncertainty quantification across multi-LLM systems
2026-03-28 SafetyDrift: Predicting When AI Agents Cross the Line Before They Actually Do COLM COLM; safety drift — individually safe agent actions compounding into violations
2026-03-27 ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory KDD 2026 KDD 2026; ClinicalAgents: multi-agent orchestration with dual-memory for clinical diagnosis
2026-03-27 Towards GUI Agents: Vision-Language Diffusion Models for GUI Grounding CVPR 2026 CVPR 2026; vision-language diffusion models challenge AR dominance for GUI grounding
2026-03-26 MemoryCD: Benchmarking Long-Context User Memory of LLM Agents for Lifelong Cross-Domain Personalization ICLR 2026 ICLR 2026; MemoryCD: first benchmark for long-context cross-domain agent memory
2026-03-26 GUIDE: A Benchmark for Understanding and Assisting Users in Open-Ended GUI Tasks CVPR 2026 CVPR 2026; GUIDE: benchmark for GUI agents assisting open-ended creative software tasks

January 2026 (225)

Date Paper Venue Why selected
2026-01-01 An Information Theoretic Perspective on Agentic System Design ICLR 2026 Christopher Ré (Stanford) + Linderman; first info-theoretic framework for multi-LM agentic systems
2026-01-01 SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning ICLR 2026 SPIRAL: self-play removes need for human-curated QA pairs in multi-agent RL training
2026-01-01 Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation ICLR 2026 MIT (Roth, Madden, Andreas); reusable reasoning logs for test-time scaling, broadly applicable
2026-01-01 Meta-RL Induces Exploration in Language Agents ICLR 2026 Stanford (Teney, Brbic, Moor); Meta-RL induces principled exploration in LLM agents
2026-01-01 Toward Efficient Exploration by Large Language Model Agents ICLR 2026 Griffiths (Princeton) + Arumugam; theoretical grounding for efficient LLM-agent exploration
2026-01-01 ReTool: Reinforcement Learning for Strategic Tool Use in LLMs ICLR 2026 Yujia Qin (MSRA/Tsinghua); RL-trained strategic tool selection, strong benchmark results
2026-01-01 Agentic Reinforcement Learning with Implicit Step Rewards ICLR 2026 Alibaba DAMO (Huang, Li); implicit step rewards solve sparse-reward bottleneck in agentic RL
2026-01-01 Kimi-Dev: Agentless Training as Skill Prior for SWE-agents ICLR 2026 Kimi team; agentless skill prior lifts SWE-agent training, state-of-the-art SWE-bench
2026-01-01 Unlocking Long-Horizon Agentic Search with Large-Scale End-to-End RL ICLR 2026 Large-scale end-to-end RL for long-horizon search agents; addresses open-source capability gap
2026-01-01 AgentGym-RL: An Open-Source Framework to Train LLM Agents for Long-Horizon Decision Making via Multi-Turn RL ICLR 2026 Fudan/Shanghai AI Lab; unified open-source multi-turn RL framework for LLM agents
2026-01-01 Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing ICLR 2026 ICLR; first live enterprise comparison of AI agents vs. human pentesters (ARTEMIS system)
2026-01-01 AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents ICLR 2026 Dawn Song (Berkeley); scalable automatic task/trajectory synthesis for computer-use agents
2026-01-01 Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks ICLR 2026 Hierarchy-of-Groups PO: fine-grained stepwise RL updates for long-horizon agentic tasks
2026-01-01 Speculative Actions: A Lossless Framework for Faster AI Agents ICLR 2026 Speculative Actions: lossless parallelism cuts agent runtime; practical for training and eval
2026-01-01 Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents ICLR 2026 OSU/CMU; Agent Data Protocol unifies heterogeneous agent fine-tuning datasets at scale
2026-01-01 LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities ICLR 2026 Razvan Pascanu (DeepMind); RL fine-tuning makes LLM agents greedy, undermining decision-making
2026-01-01 Control Tax: The Price of Keeping AI in Check ICLR 2026 Caglar Gulcehre (DeepMind); quantifies AI control overhead cost in agentic systems
2026-01-01 Breaking and Fixing Defenses Against Control Flow Hijacking in Multi-Agent Systems ICLR 2026 Vitaly Shmatikov (Cornell); attacks and fixes for control-flow hijacking in MAS
2026-01-01 ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases ICLR 2026 Nicholas Carlini (Google); agents exploiting test shortcuts—critical benchmark reliability issue
2026-01-01 Monitoring Decomposition Attacks with Lightweight Sequential Monitors ICLR 2026 Neel Nanda/Andriushchenko; lightweight monitors catch decomposed harmful subtask attacks
2026-01-01 Searching for Privacy Risks in LLM Agents via Simulation ICLR 2026 Diyi Yang (Stanford); first systematic study of privacy extraction risks in LLM agents
2026-01-01 Textual Equilibrium Propagation for Deep Compound AI Systems ICLR 2026 James Zou (Stanford); textual feedback propagation to train compound AI systems
2026-01-01 MLE-Smith: Scaling MLE Tasks with Automated Multi-agent Pipeline ICLR 2026 Percy Liang (Stanford); scalable multi-agent pipeline for ML engineering tasks
2026-01-01 Towards Reliable Benchmarking: A Contamination Free, Controllable Evaluation Framework for Multi-step LLM Function Calling ICLR 2026 Tom Mitchell (CMU); contamination-free, controllable benchmark for multi-step function calling
2026-01-01 AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite ICLR 2026 Allen AI; rigorous benchmark for AI co-scientist agents on scientific tasks
2026-01-01 CoMind: Towards Community-Driven Agents for Machine Learning Engineering ICLR 2026 Ameet Talwalkar (CMU); agents leveraging community knowledge for ML engineering automation
2026-01-01 Ambig-SWE: Interactive Agents to Overcome Underspecificity in Software Engineering ICLR 2026 Graham Neubig (CMU); agents handling underspecified SWE tasks with clarification
2026-01-01 Spilling the Beans: Teaching LLMs to Self-Report Their Hidden Objectives ICLR 2026 DeepMind safety team; training agents to self-report hidden objectives
2026-01-01 Towards Scalable Oversight via Partitioned Human Supervision ICLR 2026 Masashi Sugiyama (RIKEN); partitioned human supervision to scale oversight beyond expert level
2026-01-01 Computer Agent Arena: Toward Human-Centric Evaluation and Analysis of Computer-Use Agents ICLR 2026 Human-centric evaluation paradigm for computer-use agents beyond static benchmarks
2026-01-01 OpenAgentSafety: A Comprehensive Framework For Evaluating Real-World AI Agent Safety ICLR 2026 Maarten Sap/Nouha Dziri; comprehensive real-world agent safety evaluation framework
2026-01-01 CoDA: Agentic Systems for Collaborative Data Visualization ICLR 2026 Tomas Pfister/Sercan Arik (Google); agentic collaboration for automated data visualization
2026-01-01 Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning ICLR 2026 Sung Ju Hwang (KAIST); automating code generation from ML papers via agents
2026-01-01 DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems ICLR 2026 Microsoft Research; intervention-driven debugging for LLM multi-agent system failures
2026-01-01 PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach ICLR 2026 Vikash Sehwag (Meta); benchmarking latent dangerous capabilities via agentic testing
2026-01-01 A2ASecBench: A Protocol-Aware Security Benchmark for Agent-to-Agent Multi-Agent Systems ICLR 2026 Neil Gong (Duke); first security benchmark for A2A protocol multi-agent systems
2026-01-01 Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies ICLR 2026 Hamid Palangi (Microsoft); optimizing multi-agent prompts and topologies jointly
2026-01-01 MARTI: A Framework for Multi-Agent LLM Systems Reinforced Training and Inference ICLR 2026 Open-source framework for scalable multi-agent LLM training and inference
2026-01-01 Scaling Agent Learning via Experience Synthesis ICLR 2026 Experience synthesis for efficient RL agent training without costly rollouts
2026-01-01 Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations ICLR 2026 Hindsight relabeling of failed agent trajectories into successful demonstrations
2026-01-01 Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models ICLR 2026 Evolving context adaptation for self-improving LLM agents without weight updates
2026-01-01 Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning ICLR 2026 RL to incentivize agentic reasoning and tool use in LLM judge systems
2026-01-01 Search Self-Play: Pushing the Frontier of Agent Capability without Supervision ICLR 2026 Self-play for agent capability improvement without ground-truth supervision
2026-01-01 Do LLM Agents Know How to Ground, Recover, and Assess? Evaluating Epistemic Competence in Information-Seeking Agents ICLR 2026 Evaluating epistemic grounding and recovery in information-seeking LLM agents
2026-01-01 Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments ICLR 2026 Dynamic, asynchronous benchmark where environments evolve independently of agent
2026-01-01 GEM: A Gym for Generalist LLMs ICLR 2026 Training environment for generalist LLMs via experience-based learning
2026-01-01 In-the-Flow Agentic System Optimization for Effective Planning and Tool Use ICLR 2026 Optimizing agentic systems in-flow with decoupled policy for planning and tool use
2026-01-01 Test-Time Adaptation for LLM Agents via Environment Interaction ICLR 2026 Test-time adaptation for LLM agents to novel environments via interaction
2026-01-01 ChatInject: Abusing Chat Templates for Prompt Injection in LLM Agents ICLR 2026 Chat template abuse enables prompt injection bypassing instruction hierarchy
2026-01-01 FlowSearcher: Synthesizing Memory-Guided Agentic Workflows for Web Information Seeking ICLR 2026 Memory-guided agentic workflow synthesis for deep web information seeking
2026-01-01 MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data Science ICLR 2026 Large-scale training environment for biomedical code-centric LLM agent reasoning
2026-01-01 BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization ICLR 2026 Bandit optimization discovers hierarchical SWE agent architectures automatically
2026-01-01 CARD: Towards Conditional Design of Multi-agent Topological Structures ICLR 2026 Conditional topology design for multi-agent LLM collaboration structures
2026-01-01 WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflection ICLR 2026 RL with self-reflection trains deeper web search agents
2026-01-01 LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild ICLR 2026 Live benchmark with real-time web tasks for deep research agents
2026-01-01 Empowering LLM Tool Invocation with Tool-call Reward Model ICLR 2026 Reward model for RL-based tool invocation in LLM agents
2026-01-01 Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration ICLR 2026 Graph-based framework outperforms Mixture-of-Agents for multi-LLM collaboration
2026-01-01 WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization ICLR 2026 Agentic synthesis of information-seeking training data via formalization
2026-01-01 MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers ICLR 2026 MCP-based benchmark for realistic multi-step tool use and coordination
2026-01-01 Benchmarking LLM Tool-Use in the Wild ICLR 2026 Wild benchmark capturing messy, multi-turn, multi-step real tool-use scenarios
2026-01-01 VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use ICLR 2026 RL finetuning teaches VLMs to reason with multimodal tools
2026-01-01 AutoTool: Automatic Scaling of Tool-Use Capabilities in RL via Decoupled Entropy Constraints ICLR 2026 RL with entropy constraints for automatic scaling of tool-use capabilities
2026-01-01 TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use ICLR 2026 Trajectory-aware evaluation of tool use beyond just final answer accuracy
2026-01-01 ToolTree: Efficient LLM Tool Planning via Dual-Feedback Monte Carlo Tree Search and Bidirectional Pruning ICLR 2026 MCTS with dual feedback and bidirectional pruning for LLM tool planning
2026-01-01 Grounding Computer Use Agents on Human Demonstrations ICLR 2026 Desktop grounding dataset for computer-use agents; bridges web and mobile gap
2026-01-01 Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions ICLR 2026 Julian McAuley (UCSD); incremental multi-turn benchmark for agent memory
2026-01-01 Dual-Scale World Memory for LLM Agents towards Hard-Exploration Problems ICLR 2026 Dual-scale world memory enables LLM agents in hard-exploration tasks
2026-01-01 AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations ICLR 2026 Interactive benchmark for memory management in long-horizon assistant conversations
2026-01-01 Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization ICLR 2026 Hybrid on/off-policy RL for exploratory memory-augmented LLM agents
2026-01-01 Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning ICLR 2026 Complexity-boosting RL reaches Olympiad-level geometry in formal proof agents
2026-01-01 A Benchmark for Deep Information Synthesis ICLR 2026 Benchmark for deep information synthesis across tool use, browsing, and code
2026-01-01 Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation ICLR 2026 Multi-agent RL with meta-thinking agents improves complex reasoning
2026-01-01 Discovering Novel LLM Experts via Task-Capability Coevolution ICLR 2026 Task-capability coevolution to discover novel expert LLMs for emergent skills
2026-01-01 Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning ICLR 2026 Metacognitive policy optimization for continual human-AI collaborative multi-agent learning
2026-01-01 Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems ICLR 2026 Token-efficient multi-agent systems via misinformation detection and pruning
2026-01-01 Eigen-Agent: Adaptive Multi-Agent Scientific Reasoning with Monitor-Based RAG ICLR 2026 Monitor-based RAG with multi-agent scientific reasoning reduces tool overhead
2026-01-01 PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction For Continual Learning ICLR 2026 Polymorphic skill abstraction for continual learning in LLM agents
2026-01-01 GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs ICLR 2026 Jiaxuan You (UIUC); graph memory augmented routing for multi-agent LLMs
2026-01-01 STARK: Strategic Team of Agents for Refining Kernels ICLR 2026 Multi-agent team discovers and applies GPU kernel optimizations automatically
2026-01-01 TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture ICLR 2026 Test-time scaling via mixed tool use (code and search) in LLM agents
2026-01-01 Demystifying Deep Search: A Holistic Evaluation with Hint-free Multi-Hop Questions and Factorised Metrics ICLR 2026 Hint-free multi-hop questions and factored metrics for deep search evaluation
2026-01-01 HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization ICLR 2026 Agentic benchmark for LLM-crafted heuristics in combinatorial optimization
2026-01-01 MAD-Logic: Multi-Agent Debate Enhances Symbolic Translation and Reasoning ICLR 2026 Multi-agent debate improves symbolic translation and logical reasoning
2026-01-01 When AI Agents Collude Online: Financial Fraud Risks by Collaborative LLM Agents on Social Platforms ICLR 2026 LLM agents can collude for financial fraud at scale—new security threat
2026-01-01 TusoAI: Agentic Optimization for Scientific Methods ICLR 2026 Agentic system automates iterative scientific method development and testing
2026-01-01 AgentPO: Enhancing Multi-Agent Collaboration via Reinforcement Learning ICLR 2026 RL-based optimization of inter-agent interactions in multi-agent systems
2026-01-01 When Greedy Wins: Emergent Exploitation Bias in Meta-Bandit LLM Training ICLR 2026 Emergent exploitation bias in LLM agents trained via RL on bandit tasks
2026-01-01 HeurekaBench: A Benchmarking Framework for AI Co-scientist ICLR 2026 Maria Brbic (EPFL); realistic end-to-end benchmark for AI co-scientist agents
2026-01-01 Vision-Zero: Scalable VLM Self-Evolution via Multi-Agent Self-Play ICLR 2026 RL self-play without manual data for VLM reasoning capability improvement
2026-01-01 Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows ICLR 2026 Sung Ju Hwang; performance prediction for LLM-based agentic workflow selection
2026-01-01 MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimodal Browsing Agents ICLR 2026 Provenance-aware multimodal browsing benchmark requiring genuine vision reasoning
2026-01-01 HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation ICLR 2026 Hierarchical process rewards improve suboptimal search in agentic RAG
2026-01-01 Scaling Agents via Continual Pre-training ICLR 2026 Continual pretraining as scalable approach to improve LLM agent capabilities
2026-01-01 Emergent Coordination in Multi-Agent Language Models ICLR 2026 Information-theoretic test for collective structure emergence in multi-agent LLMs
2026-01-01 ReWatch-R1: Boosting Complex Video Reasoning in Large Vision-Language Models through Agentic Data Synthesis ICLR 2026 RL with verifiable rewards for complex video reasoning in VLMs
2026-01-01 MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains ICLR 2026 Multimodal agentic search with structured long reasoning chains
2026-01-01 Tools are under-documented: Simple Document Expansion Boosts Tool Retrieval ICLR 2026 Document expansion significantly boosts tool retrieval for LLM agents
2026-01-01 Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks ICLR 2026 Deep multimodal reasoning benchmark for sequential vision-centric agentic tasks
2026-01-01 ToolWeaver: Weaving Collaborative Semantics for Scalable Tool Use in Large Language Models ICLR 2026 Collaborative tool semantics for scalable tool retrieval and use in LLMs
2026-01-01 UIS-Digger: Towards Comprehensive Research Agent Systems for Real-world Unindexed Information Seeking ICLR 2026 Agents for unindexed non-web-indexed real-world information seeking
2026-01-01 Towards Multimodal Data-Driven Scientific Discovery Powered by LLM Agents ICLR 2026 Multi-modal data-driven scientific discovery benchmark for LLM agents
2026-01-01 BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models ICLR 2026 Tool selection bias in LLM agents—fairness issue in tool marketplaces
2026-01-01 InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents ICLR 2026 Multi-source information seeking benchmark beyond open-web search
2026-01-01 Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning ICLR 2026 Expert trajectory supervision enables RL for small models on complex tasks
2026-01-01 Opponent Shaping in LLM Agents ICLR 2026 Strategic opponent shaping behavior emerging in multi-agent LLM deployments
2026-01-01 Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols ICLR 2026 Adaptive attacks on AI control protocols; stress-tests untrusted LLM agent safety
2026-01-01 Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents ICLR 2026 First systematic study of emergent misalignment risks in self-evolving LLM agents
2026-01-01 MAS\(^2\): Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems ICLR 2026 Self-generative, self-configuring, self-rectifying MAS; comprehensive self-evolution framework
2026-01-01 MCP Security Bench (MSB): Benchmarking Attacks Against Model Context Protocol in LLM Agents ICLR 2026 MCP tool attack surface benchmark; timely security analysis for agentic deployment
2026-01-01 MCP-SafetyBench: A Benchmark for Safety Evaluation of Large Language Models with Real-World MCP Servers ICLR 2026 MCP safety benchmark with real-world servers; critical for production agentic safety
2026-01-01 Agentic Reinforced Policy Optimization ICLR 2026 RLVR extended to agentic multi-step tasks; bridges single-turn RL to agents
2026-01-01 Reliable Weak-to-Strong Monitoring of LLM Agents ICLR 2026 Red-teams monitoring systems for covert LLM agent misbehavior; safety-critical
2026-01-01 CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards ICLR 2026 Interaction-reward-driven co-evolution of specialized agents; novel self-improvement paradigm
2026-01-01 ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs ICLR 2026 Benchmark for agent safety-helpfulness tradeoff in autonomous LLM deployment
2026-01-01 Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis ICLR 2026 ZPD-guided data synthesis pushes agent capability frontier beyond training distribution
2026-01-01 Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents ICLR 2026 Hierarchical preference learning addresses granularity mismatch in long-horizon agent alignment
2026-01-01 Generalizable End-to-End Tool-Use RL with Synthetic CodeGym ICLR 2026 End-to-end RL for generalizable tool use; moves beyond SFT for agentic training
2026-01-01 Reducing Belief Deviation in Reinforcement Learning for Active Reasoning of LLM Agents ICLR 2026 Belief tracking with RL reduces hallucination in multi-turn active reasoning agents
2026-01-01 Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn Search Agents ICLR 2026 Information-gain reward for RL-trained multi-turn search agents; principled formulation
2026-01-01 MARSHAL: Incentivizing Multi-Agent Reasoning via Self-Play with Strategic LLMs ICLR 2026 Self-play with strategic LLMs improves cooperative and competitive multi-agent reasoning
2026-01-01 EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems ICLR 2026 Evolutionary test-time learning enables agents to acquire complex skills on the fly
2026-01-01 Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs ICLR 2026 Combines MARL and RL to jointly optimize LLM agent specialization and performance
2026-01-01 Building a Foundational Guardrail for General Agentic Systems via Synthetic Data ICLR 2026 Synthetic data pipeline for planning-stage safety guardrails; pre-action harm prevention
2026-01-01 Risk-Sensitive Agent Compositions ICLR 2026 Formal DAG model composing specialized agents with risk-sensitive workflow guarantees
2026-01-01 LH-DECEPTION: Simulating and Understanding LLM Deceptive Behaviors in Long-Horizon Interactions ICLR 2026 Longitudinal study of LLM deception across multi-turn interactions; safety-critical findings
2026-01-01 Measuring and Mitigating Rapport Bias of Large Language Models under Multi-Agent Social Interactions ICLR 2026 Measures rapport bias in MAS; peer pressure distorts aligned agent decisions
2026-01-01 Aligned Agents, Biased Swarm: Measuring Bias Amplification in Multi-Agent Systems ICLR 2026 Bias amplifies through MAS pipelines even when base models are individually aligned
2026-01-01 In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations ICLR 2026 Exposes latent source preferences that silently steer LLM agent recommendations
2026-01-01 ResiliBench: Evaluating Agentic Workflow Adaptation in Stochastic Environments ICLR 2026 Benchmarks agent workflow adaptation under stochastic tool failures; novel resilience test
2026-01-01 OrchestrationBench: LLM-Driven Agentic Planning and Tool Use in Multi-Domain Scenarios ICLR 2026 Multi-domain agentic planning and tool-use benchmark; comprehensive orchestration evaluation
2026-01-01 TaskCraft: Automated Generation of Agentic Tasks ICLR 2026 Automated generation of diverse agentic tasks for scalable agent training and evaluation
2026-01-01 VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications ICLR 2026 Versatile real-world interactive benchmark covering many agent capability dimensions
2026-01-01 REMem: Reasoning with Episodic Memory in Language Agent ICLR 2026 Episodic memory with spatiotemporal context models human-like recall in LLM agents
2026-01-01 Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents ICLR 2026 Revisitable memory with dynamic key-evidence retrieval for long-context LLM agents
2026-01-01 A\(^2\)FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning ICLR 2026 Unified agent foundation model bridging reasoning-only and tool-using LLM paradigms
2026-01-01 CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering ICLR 2026 Neuro-symbolic KG reasoning agent with dynamic learnable context; latency-aware
2026-01-01 Scaling Generalist Data-Analytic Agents ICLR 2026 Scalable data-analytic agents on open-source models; reduces proprietary model dependence
2026-01-01 Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrieval ICLR 2026 Agentic RAG treats retrieval as white-box; agents reason and interact with corpus
2026-01-01 Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval ICLR 2026 Optimizes LLMs for indirect reasoning-heavy retrieval required in agentic pipelines
2026-01-01 WideSearch: Benchmarking Agentic Broad Info-Seeking ICLR 2026 Benchmark for wide-scale agentic info-seeking; measures breadth vs depth tradeoffs
2026-01-01 FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction ICLR 2026 Live benchmark for future prediction testing LLM agent reasoning under uncertainty
2026-01-01 Shoot First, Ask Questions Later? Building Rational Agents that Explore and Act Like People ICLR 2026 Agents form hypotheses and seek information strategically in high-stakes settings
2026-01-01 Learning to Summarize by Learning to Quiz: Adversarial Agentic Collaboration for Long Document Summarization ICLR 2026 Adversarial quiz-generator agent guides summarizer; novel self-improving document agent loop
2026-01-01 Multi-Agent Debate with Memory Masking ICLR 2026 Memory masking in multi-agent debate improves consistency; addresses echo chambers
2026-01-01 Context Learning for Multi-Agent Discussion ICLR 2026 In-context learning for multi-agent discussion prevents cascading incoherence
2026-01-01 Benefits and Limitations of Communication in Multi-Agent Reasoning ICLR 2026 Theoretical and empirical analysis of when multi-agent LLM communication helps reasoning
2026-01-01 Social Agents: Collective Intelligence Improves LLM Predictions ICLR 2026 Collective intelligence from social LLM agent ensembles outperforms individual models
2026-01-01 Multimodal Policy Internalization for Conversational Agents ICLR 2026 Multimodal policy internalization for conversational agents; reduces explicit policy reliance
2026-01-01 From Assistant to Independent Developer — Are GPTs Ready for Software Development? ICLR 2026 Evaluates LLMs as independent software developers; systemic code reasoning at scale
2026-01-01 BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation via Lens of Dynamic Interactions ICLR 2026 Dynamic multi-turn text-to-SQL benchmark with interaction, errors, and ambiguity handling
2026-01-01 M\(^2\)-Miner: Multi-Agent Enhanced MCTS for Mobile GUI Agent Data Mining ICLR 2026 MCTS-guided multi-agent framework for scalable high-quality GUI trajectory data mining
2026-01-01 GhostEI-Bench: Do Mobile Agent Resilience to Environmental Injection in Dynamic On-Device Environments? ICLR 2026 Benchmark for mobile agent resilience to environmental injection in dynamic interfaces
2026-01-01 UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction as Reasoning ICLR 2026 Multi-perspective instruction reasoning improves GUI grounding for agent navigation
2026-01-01 DAVE: A VLM Vision Encoder for Document Understanding and Web Agents ICLR 2026 Document-aware vision encoder boosts VLM structural understanding for web agents
2026-01-01 SCUBA: Salesforce Computer Use Benchmark ICLR 2026 Real-world CRM computer-use benchmark from Salesforce; 300 task instances from user interviews
2026-01-01 DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence ICLR 2026 Sociotechnical audit framework for citation reliability in deep research LLM agents
2026-01-01 Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval and Synthesis for SLMs ICLR 2026 Efficient deep research for small LMs; long-horizon synthesis without large model dependency
2026-01-01 ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction ICLR 2026 Non-autoregressive multi-turn agentic interaction generation improves efficiency
2026-01-01 Credit-Budgeted ICPC-Style Coding: When Agents Must Pay for Every Decision ICLR 2026 Credit-budgeted coding benchmark measures real-world agent efficiency tradeoffs
2026-01-01 A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments ICLR 2026 Consumer choice experiments quantify how LLM agents behave as economic decision-makers
2026-01-01 Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters ICLR 2026 Tree-structured strategic planning significantly improves LLM agent competitive debate
2026-01-01 Zephyrus: An Agentic Framework for Weather Science ICLR 2026 Agentic framework integrating weather foundation models with language-based reasoning
2026-01-01 SR-Scientist: Scientific Equation Discovery With Agentic AI ICLR 2026 Agentic AI for scientific equation discovery with active hypothesis and verification loop
2026-01-01 Doctor-R1: Mastering Clinical Inquiry with Experiential Agentic Reinforcement Learning ICLR 2026 Agentic RL for clinical inquiry; models doctor-patient consultation strategically
2026-01-01 From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning ICLR 2026 Multi-agent with evidence-based reasoning for chemical reaction condition prediction
2026-01-01 AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework ICLR 2026 Bayesian adversarial multi-agent for reliable AI-for-science automated code generation
2026-01-01 KVComm: Enabling Efficient LLM Communication through Selective KV Sharing ICLR 2026 KV-sharing cuts inter-LLM communication cost in multi-agent pipeline inference
2026-01-01 ATLAS: Constraints-Aware Multi-Agent Collaboration for Real-World Travel Planning ICLR 2026 Constraint-aware multi-agent LLM for complex travel planning under real-world rules
2026-01-01 From Assumptions to Actions: Turning LLM Reasoning into Uncertainty-Aware Planning for Embodied Agents ICLR 2026 Uncertainty-aware planning for embodied agents in partially observable multi-agent settings
2026-01-01 AlphaAgentEvo: Evolution-Oriented Alpha Mining via Self-Evolving Agentic Reinforcement Learning ICLR 2026 Self-evolving agentic RL for systematic alpha factor mining in quantitative finance
2026-01-01 Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading ICLR 2026 Rationality-driven agentic trading system with structured critique-refine reasoning loop
2026-01-01 MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflow ICLR 2026 Evidence-based multi-modal medical diagnosis via staged agentic reasoning workflow
2026-01-01 MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning ICLR 2026 RL-optimized multi-agent collaboration for multimodal medical reasoning across specialties
2026-01-01 Do Large Language Models Know What They Are Capable Of? ICLR 2026 Evaluates LLM self-assessment of task success; calibration crucial for autonomous agents
2026-01-01 AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent ICLR 2026 Tool-augmented math agent combining internal and external computation; efficient and accurate
2026-01-01 LiveWeb-IE: A Benchmark For Online Web Information Extraction ICLR 2026 Live web information extraction benchmark tests agent adaptation to dynamic real-world pages
2026-01-01 From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization ICLR 2026 Multi-agent framework for reasoning-driven pedagogical visualization; novel educational AI
2026-01-01 CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis ICLR 2026 LLM-driven multi-agent automates complex single-cell bioinformatics workflows end-to-end
2026-01-01 THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning ICLR 2026 Hierarchical RL with tool integration for mathematical reasoning agents; strong results
2026-01-01 Pushing Test-Time Scaling Limits of Deep Search with Asymmetric Verification ICLR 2026 Asymmetric sequential and parallel test-time scaling with verification improves agent accuracy
2026-01-01 Code Aesthetics with Agentic Reward Feedback ICLR 2026 Agentic reward feedback teaches LLMs visually-oriented coding tasks beyond correctness
2026-01-01 NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents ICLR 2026 Rigorous benchmark addressing trilemma in scientific law discovery for LLM agents
2026-01-01 An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems ICLR 2026 Agentic LLM framework for complex vehicle routing; bridges NL intent to combinatorial solvers
2026-01-01 FHE-Coder: Benchmarking Secure Agentic Code Generation for Fully Homomorphic Encryption ICLR 2026 Security-focused agentic code generation benchmark for fully homomorphic encryption
2026-01-01 From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning ICLR 2026 Dynamic agent-centric protocol replaces static benchmarks for evaluating LLM reasoning
2026-01-01 Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games ICLR 2026 Foundational diverse video game benchmark for training and evaluating LLM agents
2026-01-01 FingerTip 20K: A Benchmark for Proactive and Personalized Mobile LLM Agents ICLR 2026 Proactive and personalized mobile LLM agent benchmark; 20K realistic usage episodes
2026-01-01 Hilbert: Recursively Building Formal Proofs with Informal Reasoning ICLR 2026 Recursive informal-to-formal proof construction advances LLM theorem-proving agents
2026-01-01 Tree Search for LLM Agent Reinforcement Learning ICLR 2026 ICLR 2026; tree-search RL training directly improves long-horizon LLM agent policies
2026-01-01 RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents ICLR 2026 ICLR 2026; RL with verifiable meta-reasoning rewards for robust long-horizon agents
2026-01-01 AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems? ICLR 2026 ICLR 2026; first systematic failure-attribution framework for LLM agentic systems
2026-01-01 Aegis: Automated Error Generation and Attribution for Multi-Agent Systems ICLR 2026 ICLR 2026; automated error generation and attribution essential for debugging MAS
2026-01-01 Scaling Synthetic Task Generation for Agents via Exploration ICLR 2026 ICLR 2026; Meta/CMU; scaling synthetic task generation for MLLM agent post-training
2026-01-01 CoAct-1: Computer-using Multi-agent System with Coding Actions ICLR 2026 ICLR 2026; computer-use multi-agent system combining planning with coding actions
2026-01-01 Stochastic Self-Organization in Multi-Agent Systems ICLR 2026 ICLR 2026; LLM-based MAS with dynamic topology beyond fixed orchestration
2026-01-01 Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems ICLR 2026 ICLR 2026; goal-aware detection and rectification of misinformation in MAS
2026-01-01 When Agents “Misremember” Collectively: Exploring the Mandela Effect in LLM-based Multi-Agent Systems ICLR 2026 ICLR 2026; Mandela Effect in LLM MAS — collective misremembering phenomenon
2026-01-01 DeepEyesV2: Toward Agentic Multimodal Model ICLR 2026 ICLR 2026; DeepEyesV2 integrates code execution and web search into agentic reasoning
2026-01-01 DreamPhase: Offline Imagination and Uncertainty-Guided Planning for Large-Language-Model Agents ICLR 2026 ICLR 2026; DreamPhase: offline imagination and uncertainty-guided planning for agents
2026-01-01 ContextNav: Towards Agentic Multimodal In-Context Learning ICLR 2026 ICLR 2026; ContextNav: agentic multimodal in-context learning for novel tasks
2026-01-01 Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow ICLR 2026 ICLR 2026; visual MAS hallucination snowballing — seeded in one agent, amplified across
2026-01-01 MATA: A Trainable Hierarchical Automaton System for Multi-Agent Visual Reasoning ICLR 2026 ICLR 2026; MATA: trainable hierarchical automaton for multi-agent visual reasoning
2026-01-01 Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models ICLR 2026 ICLR 2026; agentic jigsaw interaction improves fundamental VLM perceptual reasoning
2026-01-01 The Alignment Waltz: Jointly Training Agents to Collaborate for Safety ICLR 2026 ICLR 2026; jointly training agents to collaborate, balancing helpfulness and safety
2026-01-01 CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework ICLR 2026 ICLR 2026; CARE: evidence-grounded agentic framework for clinical medical reasoning
2026-01-01 MedVR: Annotation-Free Medical Visual Reasoning via Agentic Reinforcement Learning ICLR 2026 ICLR 2026; MedVR: annotation-free agentic RL for grounded medical visual reasoning
2026-01-01 CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control ICLR 2026 ICLR 2026; CoLLMLight: cooperative LLM agents for network-wide traffic signal control
2026-01-01 USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning Capabilities of LLMs as Urban Agents ICLR 2026 ICLR 2026; USTBench: spatiotemporal reasoning capabilities of LLMs as urban agents
2026-01-01 SimuHome: A Temporal- and Environment-Aware Benchmark for Smart Home LLM Agents ICLR 2026 ICLR 2026; SimuHome: temporal- and environment-aware benchmark for smart home agents
2026-01-01 HAMLET: A Hierarchical and Adaptive Multi-Agent Framework for Live Embodied Theatrics ICLR 2026 ICLR 2026; HAMLET: hierarchical adaptive multi-agent framework for live interactive theater
2026-01-01 PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement ICLR 2026 ICLR 2026; PhyScensis: physics-augmented LLM agents for interactive 3D scene generation
2026-01-01 Virtual Community: An Open World for Humans, Robots, and Society ICLR 2026 ICLR 2026; Virtual Community: open world simulator for human-robot-AI coexistence study
2026-01-01 ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution ICLR 2026 ICLR 2026; ShinkaEvolve: LLM-driven scientific discovery via open-ended program evolution
2026-01-01 Can Language Models Discover Scaling Laws? ICLR 2026 ICLR 2026; can LLM agents autonomously discover and validate scaling laws?
2026-01-01 Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation ICLR 2026 ICLR 2026; Scenethesis: agentic framework for spatial-intelligence 3D scene generation
2026-01-01 VideoMind: A Chain-of-LoRA Agent for Temporal-Grounded Video Reasoning ICLR 2026 ICLR 2026; VideoMind: chain-of-LoRA agent for temporally grounded video reasoning
2026-01-01 SWERank: Software Issue Localization with Code Ranking ICLR 2026 ICLR 2026; SWERank: code ranking for software issue localization in coding agents
2026-01-01 WebDS: An End-to-End Benchmark for Web-based Data Science ICLR 2026 ICLR 2026; WebDS: end-to-end benchmark for web-based data science agent tasks
2026-01-01 Completing Missing Annotation: Multi-Agent Debate for Accurate and Scalable Relevant Assessment for IR Benchmarks ICLR 2026 ICLR 2026; multi-agent debate reduces LLM overconfidence in IR annotation labeling
2026-01-01 Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning ICLR 2026 ICLR 2026; Youtu-GraphRAG: vertically unified agents for graph retrieval complex reasoning
2026-01-01 The Matthew Effect of AI Programming Assistants: A Hidden Bias in Software Evolution ICLR 2026 ICLR 2026; Matthew Effect — AI coding assistants amplify existing code biases evolutionarily
2026-01-01 Estimating Worst-Case Frontier Risks of Open-Weight LLMs ICLR 2026 ICLR 2026; OpenAI team; malicious fine-tuning measures worst-case frontier model risks
2026-01-01 PLAGUE: Plug-and-play Framework for Lifelong Adaptive Generation of Multi-turn Jailbreaks ICLR 2026 ICLR 2026; PLAGUE: plug-and-play lifelong adaptive multi-turn jailbreak framework
2026-01-01 StepORLM: A Self-Evolving Framework With Generative Process Supervision For Operations Research Language Models ICLR 2026 ICLR 2026; StepORLM: self-evolving generative process supervision for OR language models
2026-01-01 ICaRus: Identical Cache Reuse for Efficient Multi-Model Inference ICLR 2026 ICLR 2026; ICaRus: identical KV-cache reuse across multi-model agentic inference