نسخة أولية وصول مفتوح
Hierarchical Credit Assignment for RLVR on Fused Gromov-Wasserstein Geometry
Reinforcement learning with verifiable rewards (RLVR) has been shown to improve the reasoning capability of large language models (LLMs) across diverse reasoning tasks. However, group-based RLVR methods, such as GRPO, assign a uniform advantage to all tokens within rollouts of the same outcome. While existing works ref …