Ilgee Hong - RankMe

18 papers A* 4Misc 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training. CoRR Ran Xu, Tianci Liu, Zihan Dong, Tony Yu, Ilgee Hong, Carl Yang, Linjun Zhang, Tao Zhao, Haoyu Wang
2025	J	`jnl`	Ask a Strong LLM Judge when Your Reward Model is Uncertain. CoRR Zhenghao Xu, Qin Lu, Qingru Zhang, Liang Qiu, Ilgee Hong, Changlong Yu, Wenlin Yao, Yao Liu, Haoming Jiang, Lihong Li, Hyokun Yun, Tuo Zhao
2025	A*	`conf`	Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data. ICML Siqi Guo, Ilgee Hong, Vicente Balmaseda, Changlong Yu, Liang Qiu, Xin Liu, Haoming Jiang, Tuo Zhao, Tianbao Yang
2025	J	`jnl`	Discriminative Finetuning of Generative Large Language Models without Reward Models and Preference Data. CoRR Siqi Guo, Ilgee Hong, Vicente Balmaseda, Tuo Zhao, Tianbao Yang
2025	J	`jnl`	OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment. CoRR Tianci Liu, Ran Xu, Tony Yu, Ilgee Hong, Carl Yang, Tuo Zhao, Haoyu Wang
2025	J	`jnl`	Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only. CoRR Qingru Zhang, Liang Qiu, Ilgee Hong, Zhenghao Xu, Tianyi Liu, Shiyang Li, Rongzhi Zhang, Zheng Li, Lihong Li, Bing Yin, Chao Zhang, Jianshu Chen, Haoming Jiang, Tuo Zhao
2025	J	`jnl`	SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation. CoRR Zichong Li, Chen Liang, Zixuan Zhang, Ilgee Hong, Young Jin Kim, Weizhu Chen, Tuo Zhao
2025	J	`jnl`	Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models. CoRR Ilgee Hong, Changlong Yu, Liang Qiu, Weixiang Yan, Zhenghao Xu, Haoming Jiang, Qingru Zhang, Qin Lu, Xin Liu, Chao Zhang, Tuo Zhao
2024	A*	`conf`	Adaptive Preference Scaling for Reinforcement Learning with Human Feedback. NeurIPS Ilgee Hong, Zichong Li, Alexander Bukharin, Yixiao Li, Haoming Jiang, Tianbao Yang, Tuo Zhao
2024	J	`jnl`	Adaptive Preference Scaling for Reinforcement Learning with Human Feedback. CoRR Ilgee Hong, Zichong Li, Alexander Bukharin, Yixiao Li, Haoming Jiang, Tianbao Yang, Tuo Zhao
2024	A*	`conf`	Robust Reinforcement Learning from Corrupted Human Feedback. NeurIPS Alexander Bukharin, Ilgee Hong, Haoming Jiang, Zichong Li, Qingru Zhang, Zixuan Zhang, Tuo Zhao
2024	J	`jnl`	Robust Reinforcement Learning from Corrupted Human Feedback. CoRR Alexander Bukharin, Ilgee Hong, Haoming Jiang, Qingru Zhang, Zixuan Zhang, Tuo Zhao
2024	—	`conf`	Who Wrote this Code? Watermarking for Code Generation. ACL (1) Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim
2023	Misc	`conf`	A Simplified Framework for Contrastive Learning for Node Representations. ACSSC Ilgee Hong, Huy Tran, Claire Donnat
2023	J	`jnl`	A Simplified Framework for Contrastive Learning for Node Representations. CoRR Ilgee Hong, Huy Tran, Claire Donnat
2023	A*	`conf`	Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching. ICML Ilgee Hong, Sen Na, Michael W. Mahoney, Mladen Kolar
2023	J	`jnl`	Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching. CoRR Ilgee Hong, Sen Na, Michael W. Mahoney, Mladen Kolar
2023	J	`jnl`	Who Wrote this Code? Watermarking for Code Generation. CoRR Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim