| 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 | 52 | 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 | 41 | 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 | 26 | 2019 |
| Prometheus 2: An open source language model specialized in evaluating other language models S Kim, J Suk, S Longpre, BY Lin, J Shin, S Welleck, G Neubig, M Lee, ... arXiv preprint arXiv:2405.01535, 2024 | 22 | 2024 |
| Translations as additional contexts for sentence classification RK Amplayo, K Lee, J Yeo, S Hwang IJCAI 2018, 2018 | 17 | 2018 |
| Plug-and-Play Adaptation for Continuously-updated QA K Lee, W Han, S Hwang, H Lee, J Park, SW Lee ACL 2022 (Findings), 2022 | 15 | 2022 |
| 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 | 15 | 2019 |
| 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 | 11 | 2023 |
| Robustifying multi-hop QA through pseudo-evidentiality training K Lee, S Hwang, S Han, D Lee ACL 2021, 2021 | 11 | 2021 |
| 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 | 4 | 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 |
| The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models S Kim, J Suk, JY Cho, S Longpre, C Kim, D Yoon, G Son, Y Cho, ... arXiv preprint arXiv:2406.05761, 2024 | 1 | 2024 |
| 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 | 1 | 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 |
| Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation T Kim, K Lee, YR Jang, JY Cho, G Kim, M Cho, M Lee arXiv preprint arXiv:2407.01158, 2024 | | 2024 |
| Co-Creating Question-and-Answer Style Articles with Large Language Models for Research Promotion H Lim, JY Cho, T Kim, J Park, H Shin, S Choi, S Park, K Lee, J Kim, M Lee, ... Proceedings of the 2024 ACM Designing Interactive Systems Conference, 975-994, 2024 | | 2024 |
| KU-DMIS at EHRSQL 2024: Generating SQL query via question templatization in EHR H Kim, C Kim, H Lee, K Jang, J Lee, K Lee, G Kim, J Kang arXiv preprint arXiv:2406.00014, 2024 | | 2024 |
| 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 |
| 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 |
