Amelia (Hui) Dai
I am a second year master in data science at NYU Center for Data Science, working with Prof. Mengye Ren in the Agentic Learning AI Lab and Prof. Krzysztof J. Geras. My research interests include understanding LLMs (capabilities and limitations) and AI in healthcare. Recently, my work includes evaluating the generalization ability of LLMs and multi-modal learning for breast cancer detection.
Previously, I completed my BS in Statistics at The Chinese University of Hong Kong, Shenzhen. Outside of school, I also do hiphop dancing!
News
| Oct 10, 2024 | Our paper “Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle” is accepted in NeurIPS Workshop on Adaptive Foundation Models (Oral)! |
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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. |
