Amelia (Hui) Dai
I am an incoming Ph.D. student in data science at UChicago Data Science Institue. 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, my work includes LLMs in forecasting and evaluating the generalization ability of LLMs.
Previously, I completed my BS in Statistics at The Chinese University of Hong Kong, Shenzhen. Outside of school, I also do hiphop dancing!
News
| Jul 13, 2025 | Our paper “Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle” is accepted in ICML 2025! |
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| Jun 01, 2024 | We finished our project “DENIAHL: In-Context Features Influence LLM Needle-In-A-Haystack Abilities”, where we analyze factors beyond context length affecting LLMs’ abilities to recall information from long input context. Check our paper and code. |
| May 05, 2024 | We revisited the Text-Based Ideal Point Model (TBIP)! TBIP (Vafa et al., 2020) is a probabilistic topic model for estimating ideologies using word-choice differences on shared topics, we explored its potential in multiparty contexts! See our paper and code. |
