| BioBERT: a pre-trained biomedical language representation model for biomedical text mining J Lee, W Yoon, S Kim, D Kim, S Kim, CH So, J Kang Bioinformatics 36 (4), 1234-1240, 2020 | 6759 | 2020 |
| KLUE: Korean Language Understanding Evaluation S Park arXiv preprint arXiv:2105.09680, 2021 | 312 | 2021 |
| Efficient dialogue state tracking by selectively overwriting memory S Kim, S Yang, G Kim, SW Lee The 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2019 | 205 | 2019 |
| Prometheus: Inducing fine-grained evaluation capability in language models S Kim, J Shin, Y Cho, J Jang, S Longpre, H Lee, S Yun, S Shin, S Kim, ... ICLR 2024, 2023 | 132 | 2023 |
| Can Language Models be Biomedical Knowledge Bases? M Sung, J Lee, S Yi, M Jeon, S Kim, J Kang Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 | 107 | 2021 |
| Leveraging large language models to power chatbots for collecting user self-reported data J Wei, S Kim, H Jung, YH Kim Proceedings of the ACM on Human-Computer Interaction 8 (CSCW1), 1-35, 2024 | 94 | 2024 |
| Memory-efficient fine-tuning of compressed large language models via sub-4-bit integer quantization J Kim, JH Lee, S Kim, J Park, KM Yoo, SJ Kwon, D Lee Advances in Neural Information Processing Systems 36, 2024 | 92 | 2024 |
| On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model S Shin, SW Lee, H Ahn, S Kim, HS Kim, B Kim, K Cho, G Lee, W Park, ... NAACL 2022 (Long), 2022 | 86 | 2022 |
| Flask: Fine-grained language model evaluation based on alignment skill sets S Ye, D Kim, S Kim, H Hwang, S Kim, Y Jo, J Thorne, J Kim, M Seo ICLR 2024, 2023 | 69 | 2023 |
| Aligning Large Language Models through Synthetic Feedback S Kim, S Bae, J Shin, S Kang, D Kwak, KM Yoo, M Seo EMNLP 2023 (Long), 2023 | 62 | 2023 |
| Keep Me Updated! Memory Management in Long-term Conversations S Bae, D Kwak, S Kang, MY Lee, S Kim, Y Jeong, H Kim, SW Lee, W Park, ... Findings of EMNLP 2022 (Long), 2022 | 57 | 2022 |
| Selfee: Iterative self-revising llm empowered by self-feedback generation S Ye, Y Jo, D Kim, S Kim, H Hwang, M Seo Blog post, 2023 | 56 | 2023 |
| Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models S Bae, D Kwak, S Kim, D Ham, S Kang, SW Lee, W Park NAACL 2022 (Long), 2022 | 42 | 2022 |
| Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models G Kim, S Kim, B Jeon, J Park, J Kang EMNLP 2023 (Short), 2023 | 41 | 2023 |
| Saving Dense Retriever from Shortcut Dependency in Conversational Search S Kim, G Kim EMNLP 2022 (Short), 2022 | 31 | 2022 |
| DAPIE: Interactive Step-by-Step Explanatory Dialogues to Answer Children’s Why and How Questions Y Lee, TS Kim, S Kim, Y Yun, J Kim Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023 | 30 | 2023 |
| Kmmlu: Measuring massive multitask language understanding in korean G Son, H Lee, S Kim, S Kim, N Muennighoff, T Choi, C Park, KM Yoo, ... arXiv preprint arXiv:2402.11548, 2024 | 29 | 2024 |
| NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation S Kim, M Chang, SW Lee The 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021 | 21 | 2021 |
| Qadiver: Interactive framework for diagnosing qa models G Lee, S Kim, S Hwang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9861-9862, 2019 | 20 | 2019 |
| Generating Information-Seeking Conversations from Unlabeled Documents G Kim, S Kim, KM Yoo, J Kang EMNLP 2022 (Long), 2022 | 17* | 2022 |
Jaewoo Kang (강재우)Dept of Computer Science and Engineering, Korea UniversityVerified email at korea.ac.kr
