Xian-Sheng Hua

Self-training has emerged as a promising direction for autonomously improving large language models (LLMs). Existing approaches typically adopt a \textit{generate-and-filter} paradigm based on rejection sampling, which could suffer from inefficiency and low-quality reasoning paths. Towards this e...