About me

I am a second-year Master’s student in the Wangxuan Institute of Computer Technology at Peking University. My advisor is Prof. Xiaojun Wan. My current research interest revolves around human-centered NLP, especially the evaluation of summarization and text generation. For NLG Evaluation, I am interested in automatic evaluation, human evaluation, human-AI collaboration, and reproducibility. Previously, I obtained my Bachelor’s degree in the School of Electronics Engineering and Computer Science at Peking University.

Recent News

  • 2024-05: One paper is accepted to ACL 2024.
  • 2024-02: A survey paper on LLM-based NLG evaluation.
  • 2023-05: Two papers are accepted to ACL 2023 (one at main conference, one at findings).

Preprints

  • LLM-based NLG Evaluation: Current Status and Challenges
    Mingqi Gao*, Xinyu Hu*, Jie Ruan, Xiao Pu, Xiaojun Wan
    arXiv:2402.01383 [pdf]

  • Human-like Summarization Evaluation with ChatGPT
    Mingqi Gao, Jie Ruan, Renliang Sun, Xunjian Yin, Shiping Yang, Xiaojun Wan
    arXiv:2304.02554 [pdf]

Selected Publications

  • Are LLM-based Evaluators Confusing NLG Quality Criteria?
    Xinyu Hu*, Mingqi Gao*, Sen Hu, Yang Zhang, Yicheng Chen, Teng Xu, Xiaojun Wan
    ACL 2024 (to appear) [pdf]

  • Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks
    Xiao Pu, Mingqi Gao, Xiaojun Wan
    LREC-COLING 2024 (to appear) [pdf]

  • Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling
    Jie Ruan, Xiao Pu, Mingqi Gao, Xiaojun Wan, Yuesheng Zhu
    AAAI 2024 [pdf]

  • Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework
    Mingqi Gao, Xiaojun Wan, Jia Su, Zhefeng Wang, Baoxing Huai
    ACL 2023 [pdf] [code]

  • Evaluating Factuality in Cross-lingual Summarization
    Mingqi Gao*, Wenqing Wang*, Xiaojun Wan, Yuemei Xu
    Findings of ACL 2023 [pdf] [code]

  • DialSummEval: Revisiting Summarization Evaluation for Dialogues
    Mingqi Gao, Xiaojun Wan
    NAACL 2022 [pdf] [code]

Academic Services

Served as a reviewer for:

  • Conferences: AAAI-2023, EMNLP-2023, ACL Rolling Review 2023 and 2024.
  • Workshops: HumEval @ RANLP 2023, LLMAgents @ ICLR 2024.