| Dual correction strategy for ranking distillation in top-n recommender system Y Lee, KE Kim Proceedings of the 30th ACM International Conference on Information …, 2021 | 18 | 2021 |
| Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI Y Lee, OJ Kwon, H Lee, J Kim, K Lee, KE Kim Neural Information Processing Systems (NeurIPS) Data-Centric AI workshop, 2021 | 15 | 2021 |
| Learning to embed multi-modal contexts for situated conversational agents H Lee, OJ Kwon, Y Choi, M Park, R Han, Y Kim, J Kim, Y Lee, H Shin, ... Findings of the Association for Computational Linguistics: NAACL 2022, 813-830, 2022 | 13 | 2022 |
| MvFS: Multi-view Feature Selection for Recommender System Y Lee, Y Jeong, K Park, SK Kang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 8 | 2023 |
| Tackling situated multi-modal task-oriented dialogs with a single transformer model H Lee, OJ Kwon, Y Choi, J Kim, Y Lee, R Han, Y Kim, M Park, K Lee, ... Proc. AAAI Conf. Artif. Intell. Workshop, 2022 | 3 | 2022 |
| RRADistill: Distilling LLMs’ Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine N Choi*, Y Lee*, GH Cho, H Jeong, J Kong, S Kim, K Park, S Cho, I Jeong, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | | 2024 |
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