Sarina Xi

I am an incoming CS PhD student at the University of Wisconsin-Madison. Previously, I did my MS in Machine Learning at Carnegie Mellon University with Nihar Shah. Before that, I completed my BASc in Engineering Science at the University of Toronto, where I was advised by David Lie.

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FLAWS: A Benchmark for Error Identification and Localization in Scientific Papers
Sarina Xi, Vishisht Rao, Justin Payan, Nihar B. Shah
Preprint, 2025

An automated benchmark and evaluation framework to assess the ability of LLMs to identify and localize errors in scientific papers.

Who is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
Sarina Xi, Orelia Pi, Miaomiao Zhang, Becca Xiong, Jacqueline Ng Lane, Nihar B. Shah
IAAI, 2026   (Oral Presentation)

Developed and deployed a judge assignment similarity algorithm at the 2025 Harvard President's Innovation Challenge and showed that its performance is on par with human expert assignments.

A Gold Standard Dataset For the Reviewer Assignment Problem
Ivan Stelmakh, John Wieting, Sarina Xi, Graham Neubig, Nihar B. Shah
TMLR, 2025

Gold standard dataset to evaluate and compare similarity algorithms used for review assignment in flagship ML/CS conferences.