Heekyung (Anne) Lee

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Hi! I am Heekyung(Anne) Lee. I am an Undergraduate Student studying Computer Science at POSTECH, South Korea. (Research Advisor: Prof. Minsu Cho) I am also an undergraduate researcher at Berkeley AI Research (BAIR), fortunate to be supervised under Prof. Trevor Darrell’s group. (Advisors: Prof. Trevor Darrell, Prof. Sewon Min, and David M. Chan)

I am interested in topics of Hallucination in multi-modal models, and Real-World Understanding and Interaction.

I am recently excited about the two questions below:

  • Hallucination in Visual-Reasoning Models
    ∘ What is Hallucination in multi-modal reasoning models, and what is the best recipe to mitigate it?
  • Real-World Multimodal Understanding
    Human-AI Interaction to synergize to achieve better results - uncertainty of models, control flow of thinking.
    ∘ Studying Multimodality, diverse RL algorithms, and domains for robotics or VLAs.

Feel free to check out my publications and projects.

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And also, I am a huge sports person! I generally enjoy playing soccer and running. Let’s be Strava friends! (Follow me here)

news

Oct 21, 2025 🔥 Check out our new paper Constantly Improving Image Models Need Constantly Improving Benchmarks! Link to 🧵: @ECHO.
Sep 19, 2025 ✈️ I am attending NeurIPS 2025 with our work on Generate, but Verify: Reducing Visual Hallucination in Vision-Language Models with Retrospective Resampling. Very excited to see you all in person!
Aug 20, 2025 ✈️ I am attending EMNLP 2025 to present my work on Puzzled by Puzzles: When Vision-Language Models Can’t Take a Hint. See you in Suzhou, China!
Aug 14, 2025 🇩🇪 I obtained A1 level certificate in Goethe-Zertifikat in German language!

publications

  1. reverse.png
    REVERSE: Reducing Hallucination in Vision-Language Models with Retrospective Resampling
    Tsung-Han Wu, Heekyung Lee, Jiaxin Ge, Joseph E. Gonzalez, Trevor Darrell, and David M. Chan
    2025
    In Thirty-Ninth Conference on Neural Information Processing Systems (NeurIPS), 2025
  2. visual-puzzles.png
    Puzzled by Puzzles: When Vision-Language Models Can’t Take a Hint
    Heekyung Lee, Jiaxin Ge, Tsung-Han Wu, Minwoo Kang, Trevor Darrell, and David M. Chan
    2025
    In 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
  3. echo.png
    Constantly Improving Image Models Need Constantly Improving Benchmarks
    Jiaxin Ge*, Grace Luo*, Heekyung Lee, Nishant Malpani, Long Lian, XuDong Wang, Aleksander Holynski, Trevor Darrell, Sewon Min, and David M. Chan
    2025
    The Fourteenth International Conference on Learning Representations(ICLR), 2026