Követés
Hojae Han
Hojae Han
E-mail megerősítve itt: snu.ac.kr - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Reacc: A retrieval-augmented code completion framework
S Lu, N Duan, H Han, D Guo, S Hwang, A Svyatkovskiy
arXiv preprint arXiv:2203.07722, 2022
662022
C2l: Causally contrastive learning for robust text classification
S Choi, M Jeong, H Han, S Hwang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10526 …, 2022
322022
Learning with limited data for multilingual reading comprehension
K Lee, S Park, H Han, J Yeo, S Hwang, J Lee
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
132019
Micron: Multigranular interaction for contextualizing representation in non-factoid question answering
H Han, S Choi, H Park, S Hwang
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
62019
Training data optimization for pairwise learning to rank
H Han, S Hwang, YI Song, S Kim
Proceedings of the 2020 ACM SIGIR on international conference on theory of …, 2020
42020
Counterfactual generative smoothing for imbalanced natural language classification
H Han, S Choi, M Jeong, J Park, S Hwang
Proceedings of the 30th ACM International Conference on Information …, 2021
32021
Towards compositional generalization in code search
H Han, S Hwang, S Lu, N Duan, S Choi
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
22022
Conditional Response Augmentation for Dialogue Using Knowledge Distillation.
M Jeong, S Choi, H Han, K Kim, S Hwang
INTERSPEECH, 3890-3894, 2020
22020
Intervention-Based Alignment of Code Search with Execution Feedback
H Han, M Kim, S Hwang, N Duan, S Lu
Findings of the Association for Computational Linguistics: EMNLP 2023, 2241-2263, 2023
12023
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
Switching DNN for Autonomous Driving System.
YS Ma, H Han, S Hwang
J. Comput. Sci. Eng. 16 (3), 178-184, 2022
2022
Bridging Code-Text Representation Gap using Explanation
H Han, Y Lee, M Kim, H Seung-won
Asian Conference on Machine Learning, 1033-1048, 2021
2021
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