What Does Multi-Turn Reinforcement Learning Really Improve in LLM Agents? Paper • 2611.06483 • Published 9 days ago • 39 • 6
What Does Multi-Turn Reinforcement Learning Really Improve in LLM Agents? Paper • 2611.06483 • Published 9 days ago • 39
What Does Multi-Turn Reinforcement Learning Really Improve in LLM Agents? Paper • 2611.06483 • Published 9 days ago • 39
Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do Paper • 2606.22565 • Published Jun 21 • 9
SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models Paper • 2609.02886 • Published Sep 2 • 114
CogEvol: Towards Efficient and Reliable Learning Environment Generation Paper • 2608.30968 • Published Aug 31 • 34
Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning Paper • 2608.03571 • Published Aug 6 • 42
SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs Paper • 2608.03573 • Published Aug 6 • 56
Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning Paper • 2608.03571 • Published Aug 6 • 42
SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs Paper • 2608.03573 • Published Aug 6 • 56
SWE-Touch: Benchmarking Coding Agents When Users Touch the Code Paper • 2608.02499 • Published Aug 3 • 20
The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation Paper • 2607.24720 • Published Jul 27 • 26
Why Multi-Step Tool-Use Reinforcement Learning Collapses and How Supervisory Signals Fix It Paper • 2606.26027 • Published Jun 24 • 19
Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences Paper • 2510.23451 • Published Oct 27, 2025 • 28
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application Paper • 2606.12191 • Published Jun 10 • 72
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application Paper • 2606.12191 • Published Jun 10 • 72
From P(y|x) to P(y): Investigating Reinforcement Learning in Pre-train Space Paper • 2604.14142 • Published Apr 15 • 30
MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning Paper • 2603.02024 • Published Mar 2 • 46