Jihwan Oh - RankMe

23 papers A* 1A 2B 2Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dual Preference Learning for Multi-Agent Reinforcement Learning. IEEE Access Sehyeok Kang, Minu Kim, Jihwan Oh, Se-Young Yun
2026	J	`jnl`	MERIT Feedback Elicits Better Bargaining in LLM Negotiators. CoRR Jihwan Oh, Murad Aghazada, Yooju Shin, Se-Young Yun, Taehyeon Kim
2025	B	`conf`	Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications. ISPASS Seonho Lee, Jihwan Oh, Seokjin Go, Divya Mahajan
2025	J	`jnl`	Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications. CoRR Seonho Lee, Jihwan Oh, Junkyum Kim, Seokjin Go, Jongse Park, Divya Mahajan
2025	—	`conf`	High Performance Flip-Flop Design Using a New Output Latch Scheme in Samsung 2nm GAA Process. SOCC Jihwan Oh, Ah-Reum Kim, Wonhyun Choi, Byung-Su Kim
2025	—	`conf`	Learning to Summarize from LLM-generated Feedback. NAACL (Long Papers) Hwanjun Song, Taewon Yun, Yuho Lee, Jihwan Oh, Gihun Lee, Jason Cai, Hang Su
2025	B	`conf`	Learning to Verify Summary Facts with Fine-Grained LLM Feedback. COLING Jihwan Oh, Jeonghwan Choi, Nicole Hee-Yeon Kim, Taewon Yun, Hwanjun Song
2025	J	`jnl`	ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback. CoRR Taewon Yun, Jihwan Oh, Hyangsuk Min, Yuho Lee, Jihwan Bang, Jason Cai, Hwanjun Song
2025	J	`jnl`	When Debate Fails: Bias Reinforcement in Large Language Models. CoRR Jihwan Oh, Minchan Jeong, Jongwoo Ko, Se-Young Yun
2024	J	`jnl`	Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning. CoRR Jihwan Oh, Sungnyun Kim, Gahee Kim, Sunghwan Kim, Se-Young Yun
2024	J	`jnl`	Learning to Verify Summary Facts with Fine-Grained LLM Feedback. CoRR Jihwan Oh, Jeonghwan Choi, Nicole Hee-Yeon Kim, Taewon Yun, Hwanjun Song
2024	A*	`conf`	Preference Alignment with Flow Matching. NeurIPS Minu Kim, Yongsik Lee, Sehyeok Kang, Jihwan Oh, Song Chong, Se-Young Yun
2024	J	`jnl`	Preference Alignment with Flow Matching. CoRR Minu Kim, Yongsik Lee, Sehyeok Kang, Jihwan Oh, Song Chong, Seyoung Yun
2023	J	`jnl`	Integrative learning of structured high-dimensional data from multiple datasets. Stat. Anal. Data Min. Changgee Chang, Zongyu Dai, Jihwan Oh, Qi Long
2023	J	`jnl`	The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors Without Precise Reward Functions. IEEE Access Mingyu Kim, Jihwan Oh, Yongsik Lee, Joonkee Kim, Seonghwan Kim, Song Chong, Seyoung Yun
2023	A	`conf`	Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning. AAMAS Jihwan Oh, Joonkee Kim, Minchan Jeong, Se-Young Yun
2023	J	`jnl`	Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning. CoRR Jihwan Oh, Joonkee Kim, Minchan Jeong, Se-Young Yun
2022	—	`conf`	Real-time and Explainable Detection of Epidemics with Global News Data. Healthcare AI and COVID-19 Workshop Sungnyun Kim, Jaewoo Shin, Seongha Eom, Jihwan Oh, Se-Young Yun
2022	J	`jnl`	Risk Perspective Exploration in Distributional Reinforcement Learning. CoRR Jihwan Oh, Joonkee Kim, Se-Young Yun
2022	J	`jnl`	The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions. CoRR Mingyu Kim, Jihwan Oh, Yongsik Lee, Joonkee Kim, Seonghwan Kim, Song Chong, Se-Young Yun
2020	A	`conf`	GRIA: Graphical Regularization for Integrative Analysis. SDM Changgee Chang, Jihwan Oh, Qi Long
2019	—	`conf`	Knowledge-Guided Biclustering via Sparse Variational EM Algorithm. ICBK Changgee Chang, Eun Jeong Min, Jihwan Oh, Qi Long
2017	J	`jnl`	Food for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program. CoRR Miriam Chappelka, Jihwan Oh, Dorris Scott, Mizzani Walker-Holmes