Multi-Agent Computer Use
Paper • 2606.01533 • Published • 7
07. IA agentica
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OpenSkill: Open-World Self-Evolution for LLM Agents
Paper • 2606.06741 • Published • 27 -
Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent Skills
Paper • 2606.07412 • Published • 12 -
Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses
Paper • 2606.08348 • Published • 14 -
SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating
Paper • 2606.07074 • Published • 12 -
Lean4Agent: Formal Modeling and Verification for Agent Workflow and Trajectory
Paper • 2606.06523 • Published • 6 -
Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution
Paper • 2606.10917 • Published • 76 -
Retrospective Harness Optimization: Improving LLM Agents via Self-Preference over Trajectory Rollouts
Paper • 2606.05922 • Published • 52 -
Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching Models
Paper • 2606.11025 • Published • 41 -
Rethinking the Divergence Regularization in LLM RL
Paper • 2606.09821 • Published • 33 -
Online Skill Learning for Web Agents via State-Grounded Dynamic Retrieval
Paper • 2606.04391 • Published • 10 -
What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems
Paper • 2606.05304 • Published • 5 -
Struct-Searcher: Agentic Structural Thinking Advances Multimodal Deep Information Seeking
Paper • 2606.07689 • Published • 5 -
Dynamic Linear Attention
Paper • 2606.10650 • Published • 5 -
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application
Paper • 2606.12191 • Published • 63 -
Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
Paper • 2606.11926 • Published • 110 -
EvoBrowseComp: Benchmarking Search Agents on Evolving Knowledge
Paper • 2606.13120 • Published • 4 -
WebChallenger: A Reliable and Efficient Generalist Web Agent
Paper • 2606.10423 • Published • 2 -
Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling
Paper • 2606.12370 • Published • 21 -
Large Language Models Are Overconfident in Their Own Responses
Paper • 2606.03437 • Published • 3 -
HarnessBridge: Learnable Bidirectional Controller for LLM Agent Harness
Paper • 2606.12882 • Published • 11 -
The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent Misalignment
Paper • 2606.10747 • Published • 7 -
LLM Agents Can See Code Repositories
Paper • 2606.14061 • Published • 13 -
Skip a Layer or Loop It? Learning Program-of-Layers in LLMs
Paper • 2606.06574 • Published • 16 -
HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry
Paper • 2606.14249 • Published • 34 -
APPO: Agentic Procedural Policy Optimization
Paper • 2606.12384 • Published • 69 -
CODA-BENCH: Can Code Agents Handle Data-Intensive Tasks?
Paper • 2606.15300 • Published • 11 -
FastContext: Training Efficient Repository Explorer for Coding Agents
Paper • 2606.14066 • Published • 34