Chair Chenyan Xiong

Dissecting Reinforcement Learning: Mechanisms Behind Compositional Reasoning in LLMs

This thesis proposes a unified two-axis framework that organizes SFT and RL methods along a data axis (off-policy to on-policy) and a loss function axis (positive-only to positive-plus-negative to GRPO) and enables controlled ablations of individual components.