Xiaoxuan (Mandy) Wang

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

I am currently a fourth-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 LLM post-training for reasoning and agents. 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.)

  • From Solving to Verifying: A Unified Objective for Robust Reasoning in LLMs
    Xiaoxuan Wang, Bo Liu, Song Jiang, Jingzhou Liu, Jingyuan Qi, Xia Chen, Baosheng He
    [Paper]
  • MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science
    Junkai Zhang, Jingru Gan, Xiaoxuan Wang, Zian Jia, Changquan Gu, Jianpeng Chen, Yanqiao Zhu, Mingyu Derek Ma, Dawei Zhou, Ling Li, Wei Wang
    [Paper] [Code] [Dataset]
  • 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
  • Summer 2025: Research Intern @Meta

Last Updated: Dec 2023