Xiaoxuan (Mandy) Wang

PhD student
Department of Computer Science, University of California Los Angeles.

I am currently a third-year Ph.D. student in Computer Science at University of California, Los Angeles (UCLA), where I have the privilege of being advised by Prof. Wei Wang and collaborating closely with Prof. Yizhou Sun. My research interests focus on post-training for Large Language Models and Machine Reasoning. I earned my bachelor's degree in Computer Science from University of Illinois at Urbana-Champaign (UIUC) in May 2022

Email: xw27 [at] cs [dot] ucla [dot] edu
[ Email / LinkedIn / Google Scholar / CV ]

Xiaoxuan Wang

Education

  • Ph.D. Student in Computer Science
    University of California, Los Angeles (UCLA), U.S.
    Sep 2022 - Present
  • Bachelor in Computer Science
    University of Illinois Urbana-Champaign
    Aug 2018 - May 2022

Publications

(* denotes equal contribution.)

  • EAST: Entropy-Based Adaptive Weighting for Self-Training
    Xiaoxuan Wang, Yihe Deng, Mingyu Derek Ma, Wei Wang
    [Paper] [Code]
  • SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of LLM
    ICML, 2024.
    Xiaoxuan Wang*, Ziniu Hu*, Pan Lu*, Yanqiao Zhu*, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang
    [Paper] [Code] [Website] [Media Coverage]
  • Memorize and Rank: Elevating LLMs for Clinical Diagnosis Prediction
    AAAI, 2025 & NeurIPS GenAI4Health, 2024.
    Mingyu Derek Ma, Xiaoxuan Wang, Yijia Xiao, Anthony Cuturrufo, Vijay S Nori, Eran Halperin, Wei Wang
    [Paper]
  • CliBench: A Multifaceted and Multigranular Evaluation of LLMs for Clinical Decision Making
    Mingyu Derek Ma, Chenchen Ye, Yu Yan, Xiaoxuan Wang, Peipei Ping, Timothy S Chang, Wei Wang
    [Paper] [Code] [Website]
  • STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models
    AAAI, 2023.
    Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, Jeffrey Brantingham, Nanyun Peng, Wei Wang
    [Paper]
  • Learning under Label Proportions for Text Classification
    EMNLP Findings, 2023.
    Jatin Chauhan, Xiaoxuan Wang, Wei Wang
    [Paper]
  • Seamless Equal Accuracy Ratio for Inclusive CTC Speech Recognition
    Speech Communication, 2022.
    Heting Gao, Xiaoxuan Wang, Sunghun Kang, Rusty Mina, Dias Issa, John Harvill, Leda Sari, Mark Hasegawa-Johnson, Chang D. Yoo
    [Paper]

Teaching

  • Fall 2023: Teaching Assistant CS245 Big Data Analytics @UCLA
  • Spring 2022: Course Assistant CS446 Machine Learning @UIUC

Intern Experience

  • Summer 2024: Applied Scientist Intern @Amazon AWS

Last Updated: Dec 2023