I am a Ph.D. student in Computer Science at Cornell University. I am advised by Claire Cardie, with additional mentorship from Thorsten Joachims, Kianté Brantley, Daniel D. Lee and many other amazing collaborators.

Outside of Cornell, I have spent time at Microsoft Research as a research intern, working with Dipendra Misra. Prior to Cornell, I worked with Luke Zettlemoyer and Yejin Choi at the University of Washington.

Research

Aligning LLM Agents by Learning Latent Preference from User Edits
Ge Gao*, Alexey Taymanov*, Eduardo Salinas, Paul Mineiro, and Dipendra Misra
Preprint 2024
PDF
Policy-Gradient Training of Language Models for Ranking
Ge Gao, Jonathan D. Chang, Claire Cardie, Kianté Brantley, and Thorsten Joachims
FMDM@NeurIPS 2023
PDF POSTER
Continually Improving Extractive QA via Human Feedback
Ge Gao*, Hung-Ting Chen*, Yoav Artzi, and Eunsol Choi
EMNLP 2023
PDF BIBTEX CODE POSTER
Simulating Bandit Learning from User Feedback for Extractive QA
Ge Gao, Eunsol Choi, and Yoav Artzi
ACL 2022 & UpML@ICML 2022
PDF BIBTEX CODE SLIDES POSTER TALK
MiniTorch
Sasha Rush, Ge Gao, Anton Abilov, and Aaron Gokaslan
2020
WEBSITE CODE
Neural Metaphor Detection in Context
Ge Gao, Eunsol Choi, Yejin Choi, and Luke Zettlemoyer
EMNLP 2018
PDF BIBTEX CODE SLIDES

* denotes equal first authorship.

Contact

ggao asperand cs dot cornell dot edu

NW 3-7-03, Bloomberg Center, Cornell Tech, NYC

Misc