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 | 5466 | 2020 |
Klue: Korean language understanding evaluation S Park, J Moon, S Kim, WI Cho, J Han, J Park, C Song, J Kim, Y Song, ... arXiv preprint arXiv:2105.09680, 2021 | 232 | 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 | 194 | 2019 |
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 | 91 | 2021 |
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 | 65 | 2022 |
Leveraging large language models to power chatbots for collecting user self-reported data J Wei, S Kim, H Jung, YH Kim arXiv preprint arXiv:2301.05843, 2023 | 51 | 2023 |
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 | 44 | 2024 |
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 | 38 | 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 | 36 | 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 | 34 | 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 | 33 | 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 | 32 | 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 | 29 | 2023 |
Saving Dense Retriever from Shortcut Dependency in Conversational Search S Kim, G Kim EMNLP 2022 (Short), 2022 | 24 | 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 | 20 | 2023 |
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 |
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 | 17 | 2021 |
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 | 13 | 2023 |
Generating Information-Seeking Conversations from Unlabeled Documents G Kim, S Kim, KM Yoo, J Kang EMNLP 2022 (Long), 2022 | 13* | 2022 |
The dialog must go on: Improving visual dialog via generative self-training GC Kang, S Kim, JH Kim, D Kwak, BT Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |