CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents Paper • 2511.02734 • Published Nov 4, 2025 • 20
GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving Paper • 2510.11769 • Published Oct 13, 2025 • 25
ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning Paper • 2510.12693 • Published Oct 14, 2025 • 27
Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training Paper • 2510.04996 • Published Oct 6, 2025 • 15
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training Paper • 2509.03403 • Published Sep 3, 2025 • 22
Diversity-Enhanced Reasoning for Subjective Questions Paper • 2507.20187 • Published Jul 27, 2025 • 25
Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL Paper • 2505.02391 • Published May 5, 2025 • 25
CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training Paper • 2504.13161 • Published Apr 17, 2025 • 93
Self-rewarding correction for mathematical reasoning Paper • 2502.19613 • Published Feb 26, 2025 • 82
RLHFlow MATH Process Reward Model Collection This is a collection of datasets and models of process reward modeling. • 15 items • Updated Nov 9, 2024 • 11