EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents Paper • 2412.13549 • Published Dec 18, 2024
GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving Paper • 2510.11769 • Published Oct 13, 2025 • 26
ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning Paper • 2510.12693 • Published Oct 14, 2025 • 28
Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models Paper • 2603.13985 • Published Mar 14 • 10
AgentSPEX: An Agent SPecification and EXecution Language Paper • 2604.13346 • Published 24 days ago • 162
Rethinking Diverse Human Preference Learning through Principal Component Analysis Paper • 2502.13131 • Published Feb 18, 2025 • 37
MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning Paper • 2505.24846 • Published May 30, 2025 • 15
Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay Paper • 2506.05316 • Published Jun 5, 2025 • 1
Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models Paper • 2603.13985 • Published Mar 14 • 10
PRL: Process Reward Learning Improves LLMs' Reasoning Ability and Broadens the Reasoning Boundary Paper • 2601.10201 • Published Jan 15 • 9
PRL: Process Reward Learning Improves LLMs' Reasoning Ability and Broadens the Reasoning Boundary Paper • 2601.10201 • Published Jan 15 • 9