Chengying Tu

Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns

Recent progress in large reasoning models for challenging mathematical reasoning has been driven by reinforcement learning (RL). Incorporating long chain-of-thought (CoT) data during mid-training has also been shown to substantially improve reasoning depth. However, current approaches often utiliz…