Jihwan Oh

According to our database, Jihwan Oh authored at least 17 papers between 2017 and 2025.

Collaborative distances:

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

2025

Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications.

Seonho Lee, Jihwan Oh, Junkyum Kim, Seokjin Go, Jongse Park, Divya Mahajan

CoRR, July, 2025

LLM Agents for Bargaining with Utility-based Feedback.

Jihwan Oh, Murad Aghazada, Se-Young Yun, Taehyeon Kim

CoRR, May, 2025

ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback.

Taewon Yun, Jihwan Oh, Hyangsuk Min, Yuho Lee, Jihwan Bang, Jason Cai, Hwanjun Song

CoRR, March, 2025

When Debate Fails: Bias Reinforcement in Large Language Models.

Jihwan Oh, Minchan Jeong, Jongwoo Ko, Se-Young Yun

CoRR, March, 2025

Learning to Summarize from LLM-generated Feedback.

Hwanjun Song, Taewon Yun, Yuho Lee, Jihwan Oh, Gihun Lee, Jason Cai, Hang Su

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Learning to Verify Summary Facts with Fine-Grained LLM Feedback.

Jihwan Oh, Jeonghwan Choi, Nicole Hee-Yeon Kim, Taewon Yun, Hwanjun Song

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

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

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

CoRR, 2024

Preference Alignment with Flow Matching.

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

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

2023

Integrative learning of structured high-dimensional data from multiple datasets.

Changgee Chang, Zongyu Dai, Jihwan Oh, Qi Long

Stat. Anal. Data Min., April, 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, Seyoung Yun

IEEE Access, 2023

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

Jihwan Oh, Joonkee Kim, Minchan Jeong, Se-Young Yun

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

The StarCraft Multi-Agent Challenges+ : Learning of 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

CoRR, 2022

Risk Perspective Exploration in Distributional Reinforcement Learning.

Jihwan Oh, Joonkee Kim, Se-Young Yun

CoRR, 2022

Real-time and Explainable Detection of Epidemics with Global News Data.

Sungnyun Kim, Jaewoo Shin, Seongha Eom, Jihwan Oh, Se-Young Yun

Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

2020

GRIA: Graphical Regularization for Integrative Analysis.

Changgee Chang, Jihwan Oh, Qi Long

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2019

Knowledge-Guided Biclustering via Sparse Variational EM Algorithm.

Changgee Chang, Eun Jeong Min, Jihwan Oh, Qi Long

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2017

Food for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program.

Miriam Chappelka, Jihwan Oh, Dorris Scott, Mizzani Walker-Holmes

CoRR, 2017