| The multimodality cell segmentation challenge: toward universal solutions J Ma, R Xie, S Ayyadhury, C Ge, A Gupta, R Gupta, S Gu, Y Zhang, G Lee, ... Nature methods, 1-11, 2024 | 10 | 2024 |
| Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning J Oh*, J Kim*, M Jeong, SY Yun AAMAS 2023, 2023 | 7* | 2023 |
| HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning Y Yang*, J Kim*, Y Kim*, N Ho, J Thorne, S Yun Findings of EMNLP 2023, 2023 | 6 | 2023 |
| MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy G Lee*, SM Kim*, J Kim*, SY Yun arXiv preprint arXiv:2212.03465, 2022 | 6 | 2022 |
| PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning H Lee*, H Cho*, H Kim*, D Gwak, J Kim, J Choo, SY Yun, C Yun NeurIPS 2023, 2023 | 5 | 2023 |
| The StarCraft Multi-Agent Exploration Challenges: Learning Multi-Stage Tasks and Environmental Factors Without Precise Reward Functions M Kim*, J Oh*, Y Lee, J Kim, S Kim, S Chong, SY Yun IEEE Access, 2023 | 5* | 2023 |
| Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions T Kim*, J Kim*, G Lee*, SY Yun ICLR 2024, 2023 | 3* | 2023 |
| Re3val: Reinforced and Reranked Generative Retrieval EY Song, S Kim, H Lee, J Kim, J Thorne arXiv preprint arXiv:2401.16979, 2024 | 1 | 2024 |
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