About

I'm Tengxiao Liu, a third-year MSc student at Fudan University, advised by Prof. Xipeng Qiu. Meanwhile, I'm currently a research intern at AWS Shanghai AI Lab, working closely with Prof. Prof. Yue Zhang and Prof. Prof. Zheng Zhang. Before joining Fudan, I received my bachelor degree in Computer Science from Special Gifted Young Program at Xi'an Jiaotong University in 2021.

I am interested in natural language processing and applications of generative language models, with a particular focus on building reliable learning systems that can perform complex reasoning tasks for the common good.

[Github] [CV]

Education #

• Fudan University (2021 - expected 2024)
  Master of Science in Computer Science
  Supervisor: Prof. Xipeng Qiu

• Xi’an Jiaotong University (2017 - 2021)
  Bachelor of Honors Science Program (Computer Science), Special Class for the Gifted Young
  GPA: 91.92 / 100, Ranking: 2 / 32

• University of California, Berkeley (Spring 2020)
  GPA: 4.0 / 4.0, Berkeley International Study Program (Math & Computer Science)

Publications #

• Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts [paper]
  Tengxiao Liu, Qipeng Guo, Yuqing Yang, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
  EMNLP, 2023
  NeurIPS 2023 MATH-AI Workshop

• CoLLiE: Collaborative Training of Large Language Models in an Efficient Way [paper]
  Kai Lv, Shuo Zhang, Tianle Gu, Shuhao Xing, Jiawei Hong, Keyu Chen, Xiaoran Liu, Yuqing Yang, Honglin Guo, Tengxiao Liu, Yu Sun, Qipeng Guo, Hang Yan, Xipeng Qiu
  EMNLP Demo, 2023

• Full Parameter Fine-tuning for Large Language Models with Limited Resources [paper]
  Kai Lv, Yuqing Yang, Tengxiao Liu, Qinghui Gao, Qipeng Guo, Xipeng Qiu
  Preprint, 2023

• RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees [paper]
  Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
  EMNLP, 2022

• Application of a Domain-specific BERT for Detection of Speech Recognition Errors in Radiology Reports [paper]
  Gunvant R. Chaudhari, Tengxiao Liu, Timothy L. Chen, Gabby B. Joseph, Maya Vella, Yoo Jin Lee, Thienkhai H. Vu, Youngho Seo, Andreas M. Rauschecker, Charles E. McCulloch, Jae Ho Sohn
  Radiology: Artificiall Intelligence, 2022

Experience #

• Amazon AWS AI (Mar 2021 - Present)
  Research intern at AWS Shanghai AI Lab, advised by Dr. Qipeng Guo, Prof. Yue Zhang and Prof. Zheng Zhang

• University of California, San Francisco (Feb 2020 - Mar 2021)
  Undergraduate research assistant at Big Data in Radiology, UCSF, advised by Jae Ho Sohn, MD, MS

• University of Alberta (Summer 2019)
  International Undergraduate Summer Enrichment Program: Excellence, Department of Mathematical and Statistical Sciences, advised by Prof. Linglong Kong