Amelia (Hui) Dai

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I am a second-year Ph.D. student in data science at the UChicago Data Science Institute, currently rotating with Prof. Haifeng Xu. I finished my master’s at NYU Center for Data Science, where I was fortunate to work with Prof. Mengye Ren in the Agentic Learning AI Lab and Prof. Krzysztof J. Geras. Recently, I work in LLMs in forecasting.

Previously, I completed my BS in Statistics at The Chinese University of Hong Kong, Shenzhen.

Publications

  1. cruxbench.png
    CruxBench: A Benchmark of Information Discovery
    Hui Dai*, Lina Piao*, Nick Merrill, Nadja Flechner, Ezra Karger, and Haifeng Xu
    In NeurIPS, 2026
    PDF Code
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    Aligning LLMs with Human Uncertainty: A Beta-Bernoulli Calibrator for LLM Forecasting
    Hui Dai, Ryan Teehan, Parsa Torabian, and Mengye Ren
    Arxiv Preprint , 2026
    PDF Website
  3. daily-oracle-thumbnail.png
    Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
    Hui Dai, Ryan Teehan, and Mengye Ren
    In ICML, 2025
    PDF Website
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    DENIAHL: In-Context Features Influence LLM Needle-In-A-Haystack Abilities
    Hui Dai, Dan Pechi, Xinyi Yang, Garvit Banga, and Raghav Mantri
    Arxiv Preprint , 2024
    PDF Code
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    Deep reinforcement learning empowers automated inverse design and optimization of photonic crystals for nanoscale laser cavities
    Renjie Li, Ceyao Zhang, Wentao Xie, Yuanhao Gong, Feilong Ding, Hui Dai, Zihan Chen, Feng Yin, and Zhaoyu Zhang
    Nanophotonics, 2023
    PDF Code