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 • 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 • 7 -
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 • 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 • 6 -
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 • 71 -
Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
Paper • 2606.11926 • Published • 130 -
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 • 15 -
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 • 78 -
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 • 95 -
PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems
Paper • 2606.22388 • Published • 96 -
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 • 57 -
The Verification Horizon: No Silver Bullet for Coding Agent Rewards
Paper • 2606.26300 • Published • 53 -
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 • 133 -
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 • 158 -
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 • 48 -
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 • 11 -
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 • 31 -
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 • 12 -
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 • 13 -
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 • 26 -
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 • 23 -
PACE: A Proxy for Agentic Capability Evaluation
Paper • 2607.02032 • Published • 20 -
When Search Agents Should Ask: DiscoBench for Clarification-Aware Deep Search
Paper • 2606.27669 • Published • 16 -
Mental World Modeling
Paper • 2607.27201 • Published • 104 -
AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning
Paper • 2608.05987 • Published • 94 -
ABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment
Paper • 2608.05102 • Published • 65 -
Weak-to-Strong On-Policy Distillation
Paper • 2607.26246 • Published • 56 -
Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes
Paper • 2608.05000 • Published • 59 -
Progressive Agent Skill Generation via Reinforcement Learning
Paper • 2608.01678 • Published • 58 -
HarnessOpt-Bench: Evaluating LLMs at Harness Optimization
Paper • 2608.06301 • Published • 34 -
WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity
Paper • 2608.02603 • Published • 34 -
OneDayAgent: Towards a Long-Horizon Harness for Autonomous Agents
Paper • 2608.05013 • Published • 35 -
GDPevo: Evaluating Agent Self-Evolution on Real Business Tasks
Paper • 2608.03764 • Published • 27 -
Continual Learning in Transition
Paper • 2608.06216 • Published • 23 -
AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks?
Paper • 2608.00155 • Published • 25 -
CADENA: Stepwise CAD Reverse Engineering
Paper • 2608.00799 • Published • 40 -
Kimi K3: Open Frontier Intelligence
Paper • 2607.24653 • Published • 491 -
Program-as-Weights: A Programming Paradigm for Fuzzy Functions
Paper • 2607.02512 • Published • 309 -
Metis: Memory Foundation Model
Paper • 2607.26760 • Published • 271 -
Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable
Paper • 2607.13285 • Published • 232 -
AREX: Towards a Recursively Self-Improving Agent for Deep Research
Paper • 2607.21461 • Published • 154 -
DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines
Paper • 2607.16617 • Published • 143 -
Weak-to-Strong Generalization via Direct On-Policy Distillation
Paper • 2607.05394 • Published • 143 -
EvolvingWorld: An Open-Schema Framework for Co-Evolving Role-Play Agents and World Model in Interactive Literary World
Paper • 2607.17250 • Published • 93 -
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation
Paper • 2607.05382 • Published • 88 -
ResearchStudio-Reel: Automate the Last Mile of Research from Paper to Poster, Video, and Blog
Paper • 2607.04438 • Published • 64 -
Skaling: Chinchilla's Exponents Meet Kaplan's Coupling
Paper • 2608.07222 • Published • 9 -
Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors
Paper • 2608.00675 • Published • 9 -
The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows
Paper • 2608.06714 • Published • 9 -
Can MLLMs Decode the Creative Leap? Introducing C4 for Cross-Concept Understanding
Paper • 2608.06501 • Published • 3 -
CEAA: A Cognitive Embodied Agents Architecture for Interactive Computing Systems
Paper • 2608.09848 • Published • 6 -
Don't Scroll Back: Missing-Evidence Memory for Streaming Dialogue Summarization
Paper • 2608.09043 • Published • 7 -
BDH-CQ: In-Context Learning with Recurrent Latent Reasoning
Paper • 2608.09888 • Published • 596 -
Agent Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher Memory
Paper • 2608.07169 • Published • 49 -
Motif 3: Technical Report
Paper • 2608.09119 • Published • 43 -
Scaling Inherently Interpretable Language Models
Paper • 2608.07594 • Published • 19 -
Stealing Reasoning Traces from Proprietary LLM APIs
Paper • 2608.09867 • Published • 99 -
Evo-Bench: Can Language Models Improve Agent Harness?
Paper • 2608.09096 • Published • 17