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2020 – today
- 2026
[i10]Tao Liu, Taiqiang Wu, Runming Yang, Shaoning Sun, Junjie Wang, Yujiu Yang:
ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection. CoRR abs/2601.09195 (2026)- [i9]Taiqiang Wu, Yuxin Cheng, Chenchen Ding, Runming Yang, Xincheng Feng, Wenyong Zhou, Zhengwu Liu, Ngai Wong:
Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-Ideality. CoRR abs/2603.13725 (2026) - 2025
- [c2]Taiqiang Wu, Chaofan Tao, Jiahao Wang, Runming Yang, Zhe Zhao, Ngai Wong:
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. COLING 2025: 5737-5755 - [i8]Zhen Li, Yupeng Su, Runming Yang, Zhongwei Xie, Ngai Wong
, Hongxia Yang:
Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning. CoRR abs/2501.03035 (2025) - [i7]Zhen Li, Yupeng Su, Songmiao Wang, Runming Yang, Congkai Xie, Aofan Liu, Ming Li, Jiannong Cao, Yuan Xie, Ngai Wong, Hongxia Yang:
InfiJanice: Joint Analysis and In-situ Correction Engine for Quantization-Induced Math Degradation in Large Language Models. CoRR abs/2505.11574 (2025) - [i6]Taiqiang Wu, Runming Yang, Jiayi Li, Pengfei Hu, Ngai Wong, Yujiu Yang:
Shadow-FT: Tuning Instruct via Base. CoRR abs/2505.12716 (2025) - [i5]He Xiao, Runming Yang, Qingyao Yang, Wendong Xu, Zheng Li, Yupeng Su, Zhengwu Liu, Hongxia Yang, Ngai Wong:
PTQTP: Post-Training Quantization to Trit-Planes for Large Language Models. CoRR abs/2509.16989 (2025) - [i4]Taiqiang Wu, Runming Yang, Tao Liu, Jiahao Wang, Zenan Xu, Ngai Wong:
Timber: Training-free Instruct Model Refining with Base via Effective Rank. CoRR abs/2509.23595 (2025) - [i3]Taiqiang Wu, Runming Yang, Tao Liu, Jiahao Wang, Ngai Wong:
Revisiting Model Interpolation for Efficient Reasoning. CoRR abs/2510.10977 (2025) - 2024
- [c1]Runming Yang, Taiqiang Wu, Yujiu Yang:
LoCa: Logit Calibration for Knowledge Distillation. ECAI 2024: 2410-2417 - [i2]Runming Yang, Taiqiang Wu, Yujiu Yang:
LoCa: Logit Calibration for Knowledge Distillation. CoRR abs/2409.04778 (2024) - [i1]Runming Yang, Taiqiang Wu, Jiahao Wang, Pengfei Hu, Ngai Wong, Yujiu Yang:
LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language Models. CoRR abs/2411.06839 (2024)
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