Joonkee Kim

According to our database, Joonkee Kim authored at least 11 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Re3val: Reinforced and Reranked Generative Retrieval.

EuiYul Song, Sangryul Kim, Haeju Lee, Joonkee Kim, James Thorne

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions.

Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun

CoRR, 2023

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions.

Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, Eric Upschulte, Timo Dickscheid, José Guilherme de Almeida, Yixin Wang, Lin Han, Xin Yang, Marco Labagnara, Sahand Jamal Rahi, Carly Kempster, Alice Pollitt, Leon Espinosa, Tâm Mignot, Jan Moritz Middeke, Jan-Niklas Eckardt, Wangkai Li, Zhaoyang Li, Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini, Zhuoshi Li, Chao Zuo, Oscar Brück, Gary D. Bader, Bo Wang

CoRR, 2023

Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning.

Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun

CoRR, 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

PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning.

Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning.

Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-Young Yun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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

MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy.

Gihun Lee, SangMook Kim, Joonkee Kim, Se-Young Yun

Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022