What Does Multi-Turn Reinforcement Learning Really Improve in LLM Agents? Paper • 2611.06483 • Published 10 days ago • 39
CoworkEnv: Synthesizing Training Environments for Long-Horizon Cowork Agents Paper • 2610.24960 • Published 27 days ago • 45
SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research? Paper • 2609.09113 • Published Sep 8 • 21
SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research? Paper • 2609.09113 • Published Sep 8 • 21
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
SWE-Touch: Benchmarking Coding Agents When Users Touch the Code Paper • 2608.02499 • Published Aug 3 • 20
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
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application Paper • 2606.12191 • Published Jun 10 • 72
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence Paper • 2604.18292 • Published Apr 20 • 91
Seedance 2.0: Advancing Video Generation for World Complexity Paper • 2604.14148 • Published Apr 15 • 171
From P(y|x) to P(y): Investigating Reinforcement Learning in Pre-train Space Paper • 2604.14142 • Published Apr 15 • 30
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