A Simplified Framework for Contrastive Learning for Node Representations. - Ilgee Hong; Huy Tran; Claire Donnat (ACSSC, 2023)

Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching. - Ilgee Hong; Sen Na; Michael W. Mahoney; Mladen Kolar (ICML, 2023)

Who Wrote this Code? Watermarking for Code Generation. - Taehyun Lee; Seokhee Hong 002; Jaewoo Ahn; Ilgee Hong; Hwaran Lee; Sangdoo Yun; Jamin Shin; Gunhee Kim (ACL (1), 2024)

Robust Reinforcement Learning from Corrupted Human Feedback. - Alexander Bukharin; Ilgee Hong; Haoming Jiang; Zichong Li; Qingru Zhang; Zixuan Zhang; Tuo Zhao (NeurIPS, 2024)

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback. - Ilgee Hong; Zichong Li; Alexander Bukharin; Yixiao Li; Haoming Jiang; Tianbao Yang; Tuo Zhao (NeurIPS, 2024)

Robust Reinforcement Learning from Corrupted Human Feedback. - Alexander Bukharin; Ilgee Hong; Haoming Jiang; Qingru Zhang; Zixuan Zhang; Tuo Zhao (CoRR, 2024)

Discriminative Finetuning of Generative Large Language Models without Reward Models and Preference Data. - Siqi Guo 003; Ilgee Hong; Vicente Balmaseda; Tuo Zhao; Tianbao Yang (CoRR, 2025)

Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models. - Ilgee Hong; Changlong Yu; Liang Qiu; Weixiang Yan; Zhenghao Xu; Haoming Jiang; Qingru Zhang; Qin Lu; Xin Liu; Chao Zhang; Tuo Zhao (CoRR, 2025)

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation. - Zichong Li; Chen Liang 006; Zixuan Zhang; Ilgee Hong; Young Jin Kim 001; Weizhu Chen; Tuo Zhao (CoRR, 2025)