| Semi-supervised training data generation for multilingual question answering K Lee, K Yoon, S Park, S Hwang Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 49 | 2018 |
| Exploring the benefits of training expert language models over instruction tuning J Jang, S Kim, S Ye, D Kim, L Logeswaran, M Lee, K Lee, M Seo International Conference on Machine Learning, 14702-14729, 2023 | 35 | 2023 |
| Categorical metadata representation for customized text classification J Kim, RK Amplayo, K Lee, S Sung, M Seo, S Hwang Transactions of the Association for Computational Linguistics 7, 201-215, 2019 | 23 | 2019 |
| Translations as additional contexts for sentence classification RK Amplayo, K Lee, J Yeo, S Hwang IJCAI 2018, 2018 | 16 | 2018 |
| Learning with limited data for multilingual reading comprehension K Lee, S Park, H Han, J Yeo, S Hwang, J Lee EMNLP 2019, 2840-2850, 2019 | 13 | 2019 |
| Robustifying multi-hop QA through pseudo-evidentiality training K Lee, S Hwang, S Han, D Lee ACL 2021, 2021 | 11 | 2021 |
| Plug-and-Play Adaptation for Continuously-updated QA K Lee, W Han, S Hwang, H Lee, J Park, SW Lee ACL 2022 (Findings), 2022 | 9 | 2022 |
| QASA: advanced question answering on scientific articles Y Lee, K Lee, S Park, D Hwang, J Kim, H Lee, M Lee International Conference on Machine Learning, 19036-19052, 2023 | 6 | 2023 |
| Query generation for multimodal documents K Kim, K Lee, S Hwang, YI Song, S Lee Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 3 | 2021 |
| Gradable adjective embedding for commonsense knowledge K Lee, H Cho, S Hwang Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 3 | 2017 |
| When to read documents or QA history: On unified and selective open-domain QA K Lee, S Han, S Hwang, M Lee arXiv preprint arXiv:2306.04176, 2023 | 2 | 2023 |
| Segment-then-rank: non-factoid question answering on instructional videos K Lee, N Duan, L Ji, J Li, S Hwang Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8147-8154, 2020 | 1 | 2020 |
| Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection K Lee, D Hwang, S Park, Y Jang, M Lee arXiv preprint arXiv:2403.14238, 2024 | | 2024 |
| Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering Y Song, D Lee, M Jang, S Hwang, K Lee, D Lee, J Yeo Findings of the Association for Computational Linguistics: EACL 2024, 1930-1943, 2024 | | 2024 |
| On Sample-Efficient Code Generation H Han, YJ Kim, B Kim, Y Lee, K Lee, K Lee, M Lee, K Bae, S Hwang Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
| PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering W Han, J Park, K Lee arXiv preprint arXiv:2310.16147, 2023 | | 2023 |
| On Monotonic Aggregation for Open-domain QA S Han, Y Jeong, S Hwang, K Lee arXiv preprint arXiv:2308.04176, 2023 | | 2023 |
| On Complementarity Objectives for Hybrid Retrieval D Lee, S Hwang, K Lee, S Choi, S Park Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | | 2023 |
| Revisiting Dense Retrieval with Unanswerable Counterfactuals Y Song, D Lee, K Lee, J Yeo arXiv preprint arXiv:2304.03031, 2023 | | 2023 |
| Instructional Video Summarization Using Attentive Knowledge Grounding K Kim, K Lee, S Hwang Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | | 2021 |
