LoCa: Logit Calibration for Knowledge Distillation. - Runming Yang; Taiqiang Wu; Yujiu Yang (ECAI, 2024)

LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language Models. - Runming Yang; Taiqiang Wu; Jiahao Wang; Pengfei Hu; Ngai Wong 001; Yujiu Yang (CoRR, 2024)

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. - Taiqiang Wu; Chaofan Tao; Jiahao Wang; Runming Yang; Zhe Zhao 006; Ngai Wong 001 (COLING, 2025)

Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning. - Zhen Li; Yupeng Su; Runming Yang; Zhongwei Xie; Ngai Wong 001; Hongxia Yang (CoRR, 2025)

InfiJanice: Joint Analysis and In-situ Correction Engine for Quantization-Induced Math Degradation in Large Language Models. - Zhen Li; Yupeng Su; Songmiao Wang; Runming Yang; Congkai Xie; Aofan Liu; Ming Li 002; Jiannong Cao 001; Yuan Xie; Ngai Wong 001; Hongxia Yang (CoRR, 2025)

Shadow-FT: Tuning Instruct via Base. - Taiqiang Wu; Runming Yang; Jiayi Li 002; Pengfei Hu; Ngai Wong 001; Yujiu Yang (CoRR, 2025)