Biography

I am now a PH.D. student from the NGai Lab in HKU. Before that, I received my master degree from Tsinghua University in 2023. For master, I studied in IIGroup in Tsinghua University, supervised by Prof. Yujiu Yang. In 2020, I received my bachelor degree in Department of Automation from Tsinghua University. My major research interests lie in Effcient Model methods for Large Language Models.

I am looking for an internship/visiting opportunity, please contact me if you are interested.

Recent News

• 2025.03 - The paper A Survey on the Honesty of Large Language Models is accepted by TMLR!
• 2025.02 - Release one blog about the KL divergence in RL algorithm. [Blog(中)]
• 2025.01 - Release one report for the unified view of Attention and MoE. [Report][Blog(中)]
• 2024.11 - Two papers are accepted by COLING 2025.
• 2024.11 - Release one report for modeling Binary Quantization via Convex Optimization Methods (Project for HKU COMP9602, 2023). [Report]
• 2024.09 - One paper is accepted by EMNLP 2024.
• 2024.06 - One blog about improving LoRA is released. [Eng | 中]
• 2024.04 - One blog about rethinking KL divergence in KD for LLMs is released. [Eng | 中]
• 2024.03 - One paper is accepted by NAACL 2024 findings.
• 2023.02 - Two papers are accepted by ICASSP 2023.
• 2022.10 - One research long paper is accepted by WSDM 2023.

Publications & Preprints

• A Survey on the Honesty of Large Language Models

  • Siheng Li^*, Cheng Yang^*, Taiqiang Wu^*, Chufan Shi, Yuji Zhang, Xinyu Zhu, Zesen Cheng, Deng Cai, Mo Yu, Lemao Liu, Jie Zhou, Yujiu Yang, Ngai Wong, Xixin Wu, Wai Lam
  • TMLR 2025 [pdf] [code]

• Mixture-of-Subspaces in Low-Rank Adaptation

  • Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong
  • EMNLP 2024 [pdf] [code]

• Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models

  • Taiqiang Wu, Chaofan Tao, Jiahao Wang, Runming Yang, Zhe Zhao, Ngai Wong
  • CoLING 2025 [pdf] [code]

• Weight-Inherited Distillation for Task-Agnostic BERT Compression

  • Taiqiang Wu ^*, Cheng Hou ^*, Shanshan Lao, Jiayi Li, Ngai Wong, Zhe Zhao, Yujiu Yang.
  • NAACL 2024 findings (research paper) [pdf] [code] [poster]

• Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval

  • Taiqiang Wu ^*, Xingyu Bai ^*, Weigang Guo, Weijie Liu, Siheng Li, Yujiu Yang.
  • WSDM 2023 (CCF B, research paper) [pdf] [code] [poster]

• Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs

  • Taiqiang Wu, Zhe Zhao, Jiahao Wang, Xingyu Bai, Lei Wang, Ngai Wong, Yujiu Yang
  • CoLING 2025 [pdf]

Internship

• 2021.3~2022.5, Tencent
• 2022.5~2023.5, Tencent Rahio Research Plan

Services

• ARR2022, Reviewer
• ARR2023, Reviewer
• ARR2024, Reviewer
• ARR2025, Reviewer

(Last updated on Mar, 2025)