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University of California, Los Angeles · Statistics & Data Science

Bio

I am a second-year PhD student in the Department of Statistics and Data Science at University of California, Los Angeles, advised by Prof. Xiaowu Dai.

My research focuses on uncertainty quantification of LLM rankings based on human preferences. In particular, I am working on constructing prompt-dependent confidence intervals for the rankings of LLMs. Building on this framework, I am currently designing a routing system for LLMs under cost constraints.

Prior to my PhD, I received my B.S. in Computer Science from the California Institute of Technology.

Publications

Prompt-Dependent Ranking of Large Language Models with Uncertainty Quantification
Angel Avelar, Yufeng Liu, Xiaowu Dai
[preprint]

News

September 2024 Joined UCLA as a PhD student!

Awards

Eugene Cota Robles Fellowship — 2024