Jihwan Oh

MERIT Feedback Elicits Better Bargaining in LLM Negotiators

Jihwan Oh, Murad Aghazada, Yooju Shin, Se-Young Yun^†, Taehyeon Kim^†

ACL 2026

PerMix-RLVR: Preserving Persona Expressivity under Verifiable-Reward Alignment

Jihwan Oh^*, Soowon Oh^*, Murad Aghazada, Minchan Jeong, MyeongSeok Kang, Sungnyun Kim^†, Se-Young Yun^†

Preprint / AAAI 2026 DAI Workshop

Bridging the Gap between Theory of Mind and Action in LLMs

Sehyeok Kang, Jihwan Oh, Se-Young Yun^†

ICLR 2026 AIWILD Workshop

From Belief Entrenchment to Robust Reasoning in LLM Agents

Jihwan Oh^*, Minchan Jeong^*, Jongwoo Ko^†, Se-Young Yun^†

TACL 2026 (To be presented at ACL 2026)

Dual Preference Learning for Multi-Agent Reinforcement Learning

Sehyeok Kang, Minu Kim, Jihwan Oh, Se-Young Yun^†

IEEE Access 2025

Preference Alignment with Flow Matching

Minu Kim^*, Yongsik Lee^*, Sehyeok Kang, Jihwan Oh, Song Chong, Se-Young Yun^†

Neurips 2024

Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning

Jihwan Oh, Sungnyun Kim, Gahee Kim, Sunghwan Kim, Se-Young Yun^†

ICML 2024 SPIGM Workshop

Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning

Jihwan Oh^*, Joonkee Kim^*, Minchan Jeong, Se-Young Yun^†

AAMAS 2023

The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors without Precise Reward Functions

Mingyu Kim^*, Jihwan Oh^*, Yongsik Lee, Joonkee Kim, Seonghwan Kim, Song Chong, Se-Young Yun^†

IEEE Access 2023