A Non-monotonic Self-terminating Language Model. - Eugene Choi; Kyunghyun Cho; Cheolhyoung Lee (ICLR, 2023)

Machine Learning Regularization for the Minimum Volume Formula of Toric Calabi-Yau 3-folds. - Eugene Choi; Rak-Kyeong Seong (CoRR, 2023)

Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. - Yannis Flet-Berliac; Nathan Grinsztajn; Florian Strub; Eugene Choi; Bill Wu; Chris Cremer; Arash Ahmadian; Yash Chandak; Mohammad Gheshlaghi Azar; Olivier Pietquin; Matthieu Geist (EMNLP, 2024)

Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion. - Yannis Flet-Berliac; Nathan Grinsztajn; Florian Strub; Eugene Choi; Chris Cremer; Arash Ahmadian; Yash Chandak; Mohammad Gheshlaghi Azar; Olivier Pietquin; Matthieu Geist (CoRR, 2024)

Averaging log-likelihoods in direct alignment. - Nathan Grinsztajn; Yannis Flet-Berliac; Mohammad Gheshlaghi Azar; Florian Strub; Bill Wu; Eugene Choi; Chris Cremer; Arash Ahmadian; Yash Chandak; Olivier Pietquin; Matthieu Geist (CoRR, 2024)

An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification. - Eugene Choi; Julian Rodriguez; Edmund Young (CoRR, 2024)

Self-Improving Robust Preference Optimization. - Eugene Choi; Arash Ahmadian; Matthieu Geist; Olivier Pietquin; Mohammad Gheshlaghi Azar (ICLR, 2025)

How do users contribute to YouTube channels' revenue? An empirical analysis of Korean beauty channels. - Sewon Eom; Jaeyoung Park; Eugene Choi; Jinho Park; Seongcheol Kim (Comput. Hum. Behav., 2025)

ELITE: Enhanced Language-Image Toxicity Evaluation for Safety. - Wonjun Lee; Doehyeon Lee; Eugene Choi; Sangyoon Yu; Ashkan Yousefpour; Haon Park; Bumsub Ham; Suhyun Kim 001 (CoRR, 2025)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)