Doo Hwan Hwang — accepted AI-conference papers

2026

Group-Normalized Implicit Value Optimization for Language Models

Yunseon Choi, Junyoung Jang, Chaeyoung Oh, Minchan Jeong, Doo Hwan Hwang, Kee-Eung Kim

ICLR 2026poster

Fine-tuning Large Language Models (LLMs) with reinforcement learning (RL) has become a key technique for enhancing performance on a wide range of tasks, from user alignment to complex reasoning. However, this approach is often hindered by the difficulty of fine-grained credit assignment, as it typic…

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2026

PS-PPO : Prefix-Sampling PPO for Critic-Free RLHF

Doo Hwan Hwang, Kee-Eung Kim

ICML 2026poster

Reinforcement Learning from Human Feedback (RLHF) for Large Language Models increasingly relies on critic-free methods as a practical alternative to actor–critic training. Despite their simplicity, existing critic-free approaches propagate a trajectory-level learning signal uniformly across all toke…

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