About

I'm Tengxiao Liu, a first-year Ph.D. student at University of California, Santa Barbara, advised by Prof. William Wang. I obtained my Master's at Fudan University, advised by Prof. Xipeng Qiu. I was fortunate to work as a research intern at the AWS Shanghai AI Lab, collaborating closely with Prof. Yue Zhang and Prof. Zheng Zhang. 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] [Google Scholar]

Education #

• University of California, Santa Barbara (2024 - Present)
  Ph.D. in Computer Science
  Supervisor: Prof. William Wang
• Fudan University (2021 - 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)

Selected Publications #

• Can Language Models Learn to Skip Steps? [paper]
  Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Jiayang Cheng, Yue Zhang, Xipeng Qiu, Zheng Zhang
  NeurIPS, 2024

• Full Parameter Fine-tuning for Large Language Models with Limited Resources [paper]
  Kai Lv, Yuqing Yang, Tengxiao Liu, Qinghui Gao, Qipeng Guo, Xipeng Qiu
  ACL, 2024 (oral)

• 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

• 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 - Aug 2024)
  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 Prof. Jae Ho Sohn

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