Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts Y Kim, HJ Kim, C Park, C Park, H Cho, J Kim, KM Yoo, S Lee, T Kim arXiv preprint arXiv:2408.01084, 2024 | | 2024 |
Aligning Large Language Models by On-Policy Self-Judgment S Lee, S Kim, A Yousefpour, M Seo, KM Yoo, Y Yu arXiv preprint arXiv:2402.11253, 2024 | 1 | 2024 |
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 | 40 | 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 | 28 | 2022 |
Analysis on Correlation between Prescriptions and Test Results of Diabetes Patients using Graph Models and Node Centrality KM Yoo, S Park, S Rhee, KS Yu, S Lee KIISE Transactions on Computing Practices 21 (7), 482-487, 2015 | | 2015 |
Attribute injection for pretrained language models: A new benchmark and an efficient method RK Amplayo, KM Yoo, SW Lee Proceedings of the 29th International Conference on Computational …, 2022 | 7 | 2022 |
Continuous decomposition of granularity for neural paraphrase generation X Gu, Z Zhang, SW Lee, KM Yoo, JW Ha arXiv preprint arXiv:2209.01765, 2022 | 4 | 2022 |
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 | 18 | 2022 |
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 | 85 | 2019 |
Deep Generative Data Augmentation for Natural Language Processing KM Yoo 서울대학교 대학원, 2020 | 1 | 2020 |
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 | 78 | 2021 |
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja KM Yoo, T Kim, S Lee arXiv preprint arXiv:1908.09282, 2019 | 2 | 2019 |
Enhancing out-of-distribution detection in natural language understanding via implicit layer ensemble H Cho, C Park, J Kang, KM Yoo, T Kim, S Lee arXiv preprint arXiv:2210.11034, 2022 | 6 | 2022 |
Generating information-seeking conversations from unlabeled documents G Kim, S Kim, KM Yoo, J Kang arXiv preprint arXiv:2205.12609, 2022 | 14* | 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 | 204 | 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 | 74 | 2022 |
HyperCLOVA X Technical Report KM Yoo, J Han, S In, H Jeon, J Jeong, J Kang, H Kim, KM Kim, M Kim, ... arXiv preprint arXiv:2404.01954, 2024 | 1 | 2024 |
HyperT5: Towards Compute-Efficient Korean Language Modeling D Park, S Ka, KM Yoo, G Lee, J Kang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | | 2023 |
Improving visually grounded sentence representations with self-attention KM Yoo, Y Shin, S Lee arXiv preprint arXiv:1712.00609, 2017 | 7 | 2017 |
Instruction tuning with human curriculum BW Lee, H Cho, KM Yoo arXiv preprint arXiv:2310.09518, 2023 | 5 | 2023 |