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Fei Wang

feiwangnlp (at) google [dot] com


About Me

I am a Research Scientist at Google. Previously, I received my Ph.D. in Computer Science from the University of Southern California, co-advised by Prof. Muhao Chen and Prof. Aram Galstyan. I also worked closely with Prof. Kai-Wei Chang and Prof. Dan Roth.

My research focuses on developing post-training methods to make LLMs and multimodal LLMs more reliable and robust.


Highlights


Selected Publications

    Please refer to my Google Scholar profile for the full list.

  1. MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
    Fei Wang, Xingyu Fu*, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, and others
    ICLR 2025
    Paper Website Dataset 15k+ Downloads

  2. Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
    Fei Wang, Xingchen Wan, Ruoxi Sun, Jiefeng Chen, and Sercan Ö. Arık
    ACL 2025
    Paper

  3. From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification
    Fei Wang, Chao Shang, Sarthak Jain, Shuai Wang, Qiang Ning, Bonan Min, Vittorio Castelli, Yassine Benajiba, and Dan Roth
    Findings of NAACL 2025
    Paper

  4. mDPO: Conditional Preference Optimization for Multimodal Large Language Models
    Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, and Muhao Chen
    EMNLP 2024
    Paper Website Code

  5. Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
    Jiashu Xu, Mingyu Derek Ma, Fei Wang, Chaowei Xiao, and Muhao Chen
    NAACL 2024
    Paper

  6. Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning
    Fei Wang, Zhewei Xu, Pedro Szekely, and Muhao Chen
    NAACL 2022
    Paper Code


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