Taiqiang Wu
Scholar

Taiqiang Wu

Google Scholar ID: mCtvn50AAAAJ
University of Hong Kong | Tsinghua University
Model CompressionEfficient Methods
Citations & Impact
All-time
Citations
317
 
H-index
10
 
i10-index
12
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • - 2025.03: Paper 'A Survey on the Honesty of Large Language Models' accepted by TMLR
  • - 2025.02: Released a blog about KL divergence in RL algorithm (Chinese)
  • - 2025.01: Released a report and blog (Chinese) for the unified view of Attention and MoE
  • - 2024.11: Two papers accepted by COLING 2025
  • - 2024.11: Released a report on modeling Binary Quantization via Convex Optimization Methods
  • - 2024.09: One paper accepted by EMNLP 2024
  • - 2024.06: Released a blog (English/Chinese) about improving LoRA
  • - 2024.04: Released a blog (English/Chinese) about rethinking KL divergence in KD for LLMs
  • - 2024.03: One paper accepted by NAACL 2024 findings
  • - 2023.02: Two papers accepted by ICASSP 2023
  • - 2022.10: One research long paper accepted by WSDM 2023
Research Experience
  • - 2021.3~2022.5, Tencent Internship
  • - 2022.5~2023.5, Tencent Rahio Research Internship
Education
  • - Ph.D.: The University of Hong Kong, time not specified
  • - Master: Tsinghua University, graduated in 2023, supervised by Prof. Yujiu Yang
  • - Bachelor: Department of Automation, Tsinghua University, graduated in 2020
Background
  • - Research Interests: Efficient reasoning methods for large language models
  • - Professional Field: Automation
  • - Biography: Currently a Ph.D. student at NGai Lab, HKU. Previously, completed his master's degree at IIGroup, Tsinghua University, supervised by Prof. Yujiu Yang.
Miscellany
  • Information on personal interests and hobbies is insufficient