Xiangzheng Zhang

Selective retrieval of external experience can significantly enhance task quality while minimizing costs, outperforming traditional global injection methods.

The organization of post-training reasoning data into a cohesive framework reveals crucial insights that could accelerate advancements in large reasoning models.

LLMs can be both faster and smarter: pre-learned reasoning skills cut down token usage while boosting accuracy on coding and math problems.