CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents Paper • 2511.02734 • Published Nov 4 • 20
GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving Paper • 2510.11769 • Published Oct 13 • 25
ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning Paper • 2510.12693 • Published Oct 14 • 26
Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training Paper • 2510.04996 • Published Oct 6 • 15
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training Paper • 2509.03403 • Published Sep 3 • 22
Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL Paper • 2505.02391 • Published May 5 • 25
CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training Paper • 2504.13161 • Published Apr 17 • 93
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