Yejin Bang

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I am a Ph.D. Candidate at Center for AI Research (CAiRE), The Hong Kong University of Science and Technology (HKUST).

My research focuses on LLM evaluation, value alignment, responsible AI, and safety in AI systems.

Honored with the Area Chair Award at AACL 2023, my contributions have earned a spot among the Top 100 AI achievements (2022-2023). I serve as a reviewer for top-tier NLP conferences such as ACL, EMNLP, NAACL, EACL, ARR and Harvard Data Science Review.

I am currently seeking full-time opportunities.

news

May 16, 2025 My work on LLM Hallucination Benchmark is accepted to @ ACL 2025.
Apr 25, 2025 Completed Internship at FAIR @ Meta Paris
Aug 23, 2024 Our work “A Dialogue System Architecture for Humanoid Robots Targeting Patinet Interview Tasks” won the 3rd place for the Best Industry Application Award 🏆 (Bronze Price) @ RO-MAN2024.
May 16, 2024 My work on measuring political bias in LLM got accepted to @ ACL 2024!
Nov 04, 2023 Evaluation of ChatGPT paper has received Area Chair Award 🏆 @ AACL 2023. [Article]

selected publications

  1. ACL
    Hallulens: Llm hallucination benchmark
    Yejin Bang ,  Ziwei Ji ,  Alan Schelten , and 5 more authors
    arXiv preprint arXiv:2504.17550, 2025
  2. ACL
    Measuring Political Bias in Large Language Models: What Is Said and How It Is Said
    Yejin Bang ,  Delong Chen ,  Nayeon Lee , and 1 more author
    In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , Aug 2024
  3. EMNLP
    Mitigating Framing Bias with Polarity Minimization Loss
    Yejin Bang ,  Nayeon Lee ,  and  Pascale Fung
    In Findings of the Association for Computational Linguistics: EMNLP 2023 , Dec 2023
  4. AACL
    A multitask, multilingual, multimodal evaluation of chatgpt on reasoning, hallucination, and interactivity
    Yejin Bang ,  Samuel Cahyawijaya ,  Nayeon Lee , and 8 more authors
    AACL 2023, Nov 2023