What Does Multi-Turn Reinforcement Learning Really Improve in LLM Agents? Paper • 2611.06483 • Published 1 day ago • 30
SpecMRL: Redesign Matryoshka Representation Learning within Parametric Spectrum Paper • 2610.26824 • Published 18 days ago • 33
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
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
Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences Paper • 2510.23451 • Published Oct 27, 2025 • 28
Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis Paper • 2506.04142 • Published Jun 4, 2025 • 28
MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos Paper • 2506.04141 • Published Jun 4, 2025 • 31