Reference-guided Policy Optimization for Molecular Optimization via LLM Reasoning

Xuan Li, Zhanke Zhou, Zongze Li +4

Large language models (LLMs) benefit substantially from supervised fine-tuning (SFT) and reinforcement learning with verifiable rewards (RLVR) in reasoning tasks. However, these re…