Ilgee Hong

According to our database, Ilgee Hong authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation.

Zichong Li, Chen Liang, Zixuan Zhang, Ilgee Hong, Young Jin Kim, Weizhu Chen, Tuo Zhao

CoRR, June, 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, May, 2025

Discriminative Finetuning of Generative Large Language Models without Reward Models and Preference Data.

Siqi Guo, Ilgee Hong, Vicente Balmaseda, Tuo Zhao, Tianbao Yang

CoRR, February, 2025

2024

Robust Reinforcement Learning from Corrupted Human Feedback.

Alexander Bukharin, Ilgee Hong, Haoming Jiang, Qingru Zhang, Zixuan Zhang, Tuo Zhao

CoRR, 2024

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback.

Ilgee Hong, Zichong Li, Alexander Bukharin, Yixiao Li, Haoming Jiang, Tianbao Yang, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Robust Reinforcement Learning from Corrupted Human Feedback.

Alexander Bukharin, Ilgee Hong, Haoming Jiang, Zichong Li, Qingru Zhang, Zixuan Zhang, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Who Wrote this Code? Watermarking for Code Generation.

Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching.

Ilgee Hong, Sen Na, Michael W. Mahoney, Mladen Kolar

Proceedings of the International Conference on Machine Learning, 2023

A Simplified Framework for Contrastive Learning for Node Representations.

Ilgee Hong, Huy Tran, Claire Donnat

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023