I am currently a Ph.D candidate at TsinghuaNLP supervised by Prof. Maosong Sun. I obtained my bachelor degree at CST@THU.

My research interest lies in Efficient Method for NLP. I have published some papers at the top international AI conferences with total

🔥 News

📝 Publications

arXiv 2024.02
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Unified View of Grokking, Double Descent and Emergent Abilities: A Perspective from Circuits Competition

Yufei Huang, Shengding Hu, Xu Han, Zhiyuan Liu, Maosong Sun

  • We propose a comprehensive framework to provide a unified view of grokking, double descent and emergent abilities, focusing on the competition between memorization and generalization circuis in neural network.

Findings of EMNLP 2022
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FPT: Improving Prompt Tuning Efficiency via Progressive Training

Yufei Huang*, Yujia Qin*, Huadong Wang, Yichun Yin, Maosong Sun, Zhiyuan Liu, Qun Liu

Project | |

  • In this work, we proppose Fast Prompt Tuning (FPT), which can save over 30% training computations while achieving comparable performance with vanilla Prompt Tuning.

🎖 Honors and Awards

  • 2020.06 Excellent Graduate (Bachelor), Department of Computer Science and Technology, Tsinghua University.
  • 2018.10 China National Scholarship (Top 5% each year).
  • 2017.12 Academic Progress Award in Tsinghua University.
  • 2016.10 Second-class Scholarship for Freshmen of Tsinghua University (Top 10 in every province).

📖 Educations

  • 2023.04 - now, Ph.D Candidate, Department of Computer Science and Technology, Tsinghua University, Beijing.
  • 2020.08 - 2023.04, Ph.D Student, Department of Computer Science and Technology, Tsinghua University, Beijing.
  • 2016.08 - 2020.06, Undergraduate, Department of Computer Science and Technology, Tsinghua University, Beijing.