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Chi Han

PhD Student @ University of Illinois at Urbana-Champaign

efficiency

long-context language models

language model analysis & interpretability

language model theory

lifelong event detection

ledot

language modeling heads

2

presentations

SHORT BIO

I am Chi Han (pronounced like “Chur Han”), currently a 2nd year Computer Science Ph.D. student in NLP group at the University of Illinois Urbana-Champaign (UIUC), gratefully under guidance of Prof. Heng Ji. Before joining UIUC, I was an undergraduate student at Tsinghua University, China, in the distinguished Yao Class program, where Prof. Chongjie Zhang served as my advisor. In 2019 I had the opportunity to visit CoCoSci Lab at the Massachusetts Institute of Technology (MIT) where I had the privilege of collaborating with excellect researchers including Prof. Josh Tenenbaum, Prof. Jiajun Wu, Jiayuan Mao and Prof. Chuang Gan.

At present, my research interests are centered around theoretical and conceptual understanding of large language models (LLMs), with the aim to provide insights and develop useful tools that can benefit practitioners in the field of Natural Language Processing.

Presentations

Why Does New Knowledge Create Messy Ripple Effects in LLMs?

Jiaxin Qin and 5 other authors

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Chi Han and 6 other authors

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