Multi-Agent Computer Use
Paper • 2606.01533 • Published • 7
07. IA agentica
-
-
OpenSkill: Open-World Self-Evolution for LLM Agents
Paper • 2606.06741 • Published • 29 -
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 • 16 -
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 • 77 -
Retrospective Harness Optimization: Improving LLM Agents via Self-Preference over Trajectory Rollouts
Paper • 2606.05922 • Published • 70 -
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 • 34 -
Online Skill Learning for Web Agents via State-Grounded Dynamic Retrieval
Paper • 2606.04391 • Published • 11 -
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 • 10 -
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application
Paper • 2606.12191 • Published • 70 -
Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
Paper • 2606.11926 • Published • 128 -
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 • 14 -
The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent Misalignment
Paper • 2606.10747 • Published • 13 -
LLM Agents Can See Code Repositories
Paper • 2606.14061 • Published • 20 -
Skip a Layer or Loop It? Learning Program-of-Layers in LLMs
Paper • 2606.06574 • Published • 25 -
HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry
Paper • 2606.14249 • Published • 50 -
APPO: Agentic Procedural Policy Optimization
Paper • 2606.12384 • Published • 79 -
CODA-BENCH: Can Code Agents Handle Data-Intensive Tasks?
Paper • 2606.15300 • Published • 13 -
FastContext: Training Efficient Repository Explorer for Coding Agents
Paper • 2606.14066 • Published • 94 -
PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems
Paper • 2606.22388 • Published • 95 -
DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams
Paper • 2606.21337 • Published • 75 -
CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents
Paper • 2606.22883 • Published • 37 -
Learning from Your Own Mistakes: Constructing Learnable Micro-Reflective Trajectories for Self-Distillation
Paper • 2606.18844 • Published • 20 -
Self-Compacting Language Model Agents
Paper • 2606.23525 • Published • 19 -
Causal Discovery in the Era of Agents
Paper • 2606.23608 • Published • 8 -
FastMix: Fast Data Mixture Optimization via Gradient Descent
Paper • 2606.14971 • Published • 3 -
DanceOPD: On-Policy Generative Field Distillation
Paper • 2606.27377 • Published • 81 -
OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning
Paper • 2606.26790 • Published • 55 -
The Verification Horizon: No Silver Bullet for Coding Agent Rewards
Paper • 2606.26300 • Published • 51 -
PhysiFormer: Learning to Simulate Mechanics in World Space
Paper • 2606.27364 • Published • 11 -
When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models
Paper • 2606.27288 • Published • 4 -
Are We Ready For An Agent-Native Memory System?
Paper • 2606.24775 • Published • 127 -
Plans Don't Persist: Why Context Management Is Load Bearing for LLM Agents
Paper • 2606.22953 • Published • 1 -
Forecasting Future Behavior as a Learning Task
Paper • 2606.11445 • Published • 1 -
Qwen-AgentWorld: Language World Models for General Agents
Paper • 2606.24597 • Published • 148 -
Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning
Paper • 2606.24428 • Published • 52 -
OpenThoughts-Agent: Data Recipes for Agentic Models
Paper • 2606.24855 • Published • 47 -
Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs
Paper • 2606.27378 • Published • 60 -
Towards Automating Scientific Review with Google's Paper Assistant Tool
Paper • 2606.28277 • Published • 8 -
Cluster, Route, Escalate: Cascaded Framework for Cost-Aware LLM Serving
Paper • 2606.27457 • Published • 4 -
MemSyco-Bench: Benchmarking Sycophancy in Agent Memory
Paper • 2607.01071 • Published • 30 -
Multimodal Continuous Reasoning via Asymmetric Mutual Variational Learning
Paper • 2607.00461 • Published • 28 -
CausalMix: Data Mixture as Causal Inference for Language Model Training
Paper • 2607.01104 • Published • 21 -
The State-Prediction Separation Hypothesis
Paper • 2607.01218 • Published • 11 -
AutoTrainess: Teaching Language Models to Improve Language Models Autonomously
Paper • 2606.31551 • Published • 24 -
Valdi: Value Diffusion World Models
Paper • 2607.00917 • Published • 15 -
Are Performance-Optimization Benchmarks Reliably Measuring Coding Agents?
Paper • 2607.01211 • Published • 8 -
Autonomous Scientific Discovery via Iterative Meta-Reflection
Paper • 2607.01131 • Published • 8 -
When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors
Paper • 2606.32029 • Published • 14 -
Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks
Paper • 2606.29082 • Published • 42 -
Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation
Paper • 2606.23127 • Published • 25 -
Little Brains, Big Feats: Exploring Compact Language Models
Paper • 2606.30062 • Published • 16 -
Hierarchical Experimentalist Agents
Paper • 2606.29315 • Published • 5 -
SkillCoach: Self-Evolving Rubrics for Evaluating and Enhancing Agentic Skill-Use
Paper • 2607.01874 • Published • 22 -
PACE: A Proxy for Agentic Capability Evaluation
Paper • 2607.02032 • Published • 18 -
When Search Agents Should Ask: DiscoBench for Clarification-Aware Deep Search
Paper • 2606.27669 • Published • 15