About Me

Hi~ I am Yu Xia (夏羽), an incoming CSE PhD student at University of California San Diego, where I will be working with Prof. Julian McAuley. I earned my bachelor’s degree from Shanghai Jiao Tong University and master’s degree from University of Michigan, where I am fortunate to work with Prof. Shuai Li and Dr. Tong Yu on Large Language Models and Conversational Recommender Systems.

I am broadly interested in research topics in Data Mining and Natural Language Processing.

News

• 05/2024 I will be presenting at WWW 2024. See you in Singapore!

• 03/2024 Two papers on LLM i) Hallucination ii) Alignment are accepted to NAACL 2024!

• 02/2024 I will join Adobe this summer as a Research Intern, mentored by Dr. Sungchul Kim. See you in San Jose and the Bay Area!

Publications

• Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback
  Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian McAuley, Shuai Li.
  NAACL 2024

• Hallucination Diversity-Aware Active Learning for Text Summarization
  Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup Rao, Tung Mai, Shuai Li.
  NAACL 2024 [Paper]

• Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits
  Yu Xia*, Fang Kong*, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li.
  WWW 2024 Oral [Paper] [Video]

• Towards Joint Utilization of Absolute and Relative Bandit Feedback for Conversational Recommendation
  Yu Xia*, Zhihui Xie*, Tong Yu, Canzhe Zhao, Shuai Li.
  UMUAI 2024 Special Issue on CRS [Paper]

• User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback
  Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li.
  KDD 2023 [Paper] [Video] [Slides]

arXiv Preprints

• Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
  Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian McAuley, Shuai Li.
  [Paper]

• The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
  Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou (Alphabetical Order).
  [Paper]

Talks and Presentations

• User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback
  Conversational AI Session at KDD’23. Long Beach, CA. [Slides]

CV

Educations

• University of Michigan, 2022-2024
  M.S. in Information

• Shanghai Jiao Tong University, 2019-2023
  B.Eng. in Electrical and Computer Engineering

Experiences

• Undergraduate Research Assistant, Shanghai Jiao Tong University, 2021-2023
  • Recommender Systems; Large Language Models; Reinforcement Learning; Causal Debiasing
• Conference Reviewer
  • RecSys’23, WWW’24, NAACL’24

Course Projects

• Science Fiction Text Generation [Link]
• Beer Recommender System [Link]
• FLEE [Game Link] [Code]: An interactive web game of an intersteller journey!

Awards

• University of Michigan - Shanghai Jiao Tong University Joint Institute Yu Liming Scholarship, 2021
• Shanghai Jiao Tong University Outstanding Undergraduate Award, 2021
• University of Michigan - Shanghai Jiao Tong University Joint Institute Yu Liming Scholarship, 2020
• Shanghai Jiao Tong University Outstanding Undergraduate Award, 2020

Visitors