publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

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    CruxBench: A Benchmark of Information Discovery
    Hui Dai*, Lina Piao*, Nick Merrill, Nadja Flechner, Ezra Karger, and Haifeng Xu
    In NeurIPS, 2026
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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

2025

  1. 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

2024

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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

2023

  1. l2do.png
    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