| Learning to compose task-specific tree structures J Choi, KM Yoo, S Lee Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 222* | 2018 |
| Self-guided contrastive learning for BERT sentence representations T Kim, KM Yoo, S Lee arXiv preprint arXiv:2106.07345, 2021 | 185 | 2021 |
| TaleBrush: Sketching stories with generative pretrained language models JJY Chung, W Kim, KM Yoo, H Lee, E Adar, M Chang Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 177 | 2022 |
| Gpt3mix: Leveraging large-scale language models for text augmentation KM Yoo, D Park, J Kang, SW Lee, W Park arXiv preprint arXiv:2104.08826, 2021 | 172 | 2021 |
| What changes can large-scale language models bring? intensive study on hyperclova: Billions-scale korean generative pretrained transformers B Kim, HS Kim, SW Lee, G Lee, D Kwak, DH Jeon, S Park, S Kim, S Kim, ... arXiv preprint arXiv:2109.04650, 2021 | 96 | 2021 |
| Data augmentation for spoken language understanding via joint variational generation KM Yoo, Y Shin, S Lee Proceedings of the AAAI conference on artificial intelligence 33 (01), 7402-7409, 2019 | 84 | 2019 |
| Dialogbert: Discourse-aware response generation via learning to recover and rank utterances X Gu, KM Yoo, JW Ha Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12911 …, 2021 | 76 | 2021 |
| Ground-truth labels matter: A deeper look into input-label demonstrations KM Yoo, J Kim, HJ Kim, H Cho, H Jo, SW Lee, S Lee, T Kim arXiv preprint arXiv:2205.12685, 2022 | 67* | 2022 |
| 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 | 42 | 2024 |
| Self-generated in-context learning: Leveraging auto-regressive language models as a demonstration generator HJ Kim, H Cho, J Kim, T Kim, KM Yoo, S Lee arXiv preprint arXiv:2206.08082, 2022 | 36 | 2022 |
| Aligning large language models through synthetic feedback S Kim, S Bae, J Shin, S Kang, D Kwak, KM Yoo, M Seo arXiv preprint arXiv:2305.13735, 2023 | 29 | 2023 |
| Alphatuning: Quantization-aware parameter-efficient adaptation of large-scale pre-trained language models SJ Kwon, J Kim, J Bae, KM Yoo, JH Kim, B Park, B Kim, JW Ha, N Sung, ... arXiv preprint arXiv:2210.03858, 2022 | 26 | 2022 |
| Response generation with context-aware prompt learning X Gu, KM Yoo, SW Lee arXiv preprint arXiv:2111.02643, 2021 | 23 | 2021 |
| Leveraging class hierarchy in fashion classification H Cho, C Ahn, K Min Yoo, J Seol, S Lee Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 22 | 2019 |
| Variational hierarchical dialog autoencoder for dialog state tracking data augmentation KM Yoo, H Lee, F Dernoncourt, T Bui, W Chang, S Lee arXiv preprint arXiv:2001.08604, 2020 | 17 | 2020 |
| Critic-guided decoding for controlled text generation M Kim, H Lee, KM Yoo, J Park, H Lee, K Jung arXiv preprint arXiv:2212.10938, 2022 | 16 | 2022 |
| Mutual information divergence: A unified metric for multimodal generative models JH Kim, Y Kim, J Lee, KM Yoo, SW Lee Advances in Neural Information Processing Systems 35, 35072-35086, 2022 | 14 | 2022 |
| Prompt-augmented linear probing: Scaling beyond the limit of few-shot in-context learners H Cho, HJ Kim, J Kim, SW Lee, S Lee, KM Yoo, T Kim Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12709 …, 2023 | 13 | 2023 |
| Generating information-seeking conversations from unlabeled documents G Kim, S Kim, KM Yoo, J Kang arXiv preprint arXiv:2205.12609, 2022 | 13* | 2022 |
| Utterance generation with variational auto-encoder for slot filling in spoken language understanding Y Shin, KM Yoo, SG Lee IEEE Signal Processing Letters 26 (3), 505-509, 2019 | 12 | 2019 |
Taeuk KimAssistant Professor, Hanyang University.在 hanyang.ac.kr 的电子邮件经过验证
