| Efficient keyword-aware representative travel route recommendation YT Wen, J Yeo, WC Peng, SW Hwang IEEE Transactions on Knowledge and Data Engineering 29 (8), 1639-1652, 2017 | 60 | 2017 |
| Predicting online purchase conversion for retargeting J Yeo, S Kim, E Koh, S Hwang, N Lipka Proceedings of the Tenth ACM international conference on web search and data …, 2017 | 44 | 2017 |
| Conversion prediction from clickstream: Modeling market prediction and customer predictability J Yeo, S Hwang, E Koh, N Lipka IEEE Transactions on Knowledge and Data Engineering 32 (2), 246-259, 2018 | 40 | 2018 |
| KSTR: Keyword-aware skyline travel route recommendation YT Wen, KJ Cho, WC Peng, J Yeo, S Hwang 2015 IEEE international conference on data mining, 449-458, 2015 | 31 | 2015 |
| Dialogue chain-of-thought distillation for commonsense-aware conversational agents H Chae, Y Song, KT Ong, T Kwon, M Kim, Y Yu, D Lee, D Kang, J Yeo arXiv preprint arXiv:2310.09343, 2023 | 30 | 2023 |
| Mind the gap! injecting commonsense knowledge for abstractive dialogue summarization S Kim, SJ Joo, H Chae, C Kim, S Hwang, J Yeo arXiv preprint arXiv:2209.00930, 2022 | 21 | 2022 |
| Browsing2purchase: Online customer model for sales forecasting in an e-commerce site J Yeo, S Kim, E Koh, S Hwang, N Lipka Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 19 | 2016 |
| Less is more: Attention supervision with counterfactuals for text classification S Choi, H Park, J Yeo, S Hwang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 18 | 2020 |
| 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 | 16 | 2019 |
| Botstalk: Machine-sourced framework for automatic curation of large-scale multi-skill dialogue datasets M Kim, C Kim, Y Song, S Hwang, J Yeo arXiv preprint arXiv:2210.12687, 2022 | 15 | 2022 |
| Modularized transfer learning with multiple knowledge graphs for zero-shot commonsense reasoning YJ Kim, B Kwak, Y Kim, RK Amplayo, S Hwang, J Yeo arXiv preprint arXiv:2206.03715, 2022 | 15 | 2022 |
| Large language models are clinical reasoners: Reasoning-aware diagnosis framework with prompt-generated rationales T Kwon, KT Ong, D Kang, S Moon, JR Lee, D Hwang, B Sohn, Y Sim, ... Proceedings of the AAAI conference on artificial intelligence 38 (16), 18417 …, 2024 | 14 | 2024 |
| Can large language models be good emotional supporter? mitigating preference bias on emotional support conversation D Kang, S Kim, T Kwon, S Moon, H Cho, Y Yu, D Lee, J Yeo arXiv preprint arXiv:2402.13211, 2024 | 13 | 2024 |
| Coffee: Boost your code llms by fixing bugs with feedback S Moon, H Chae, Y Song, T Kwon, D Kang, KT Ong, S Hwang, J Yeo arXiv preprint arXiv:2311.07215, 2023 | 12 | 2023 |
| DeepPDT-Net: predicting the outcome of photodynamic therapy for chronic central serous chorioretinopathy using two-stage multimodal transfer learning TK Yoo, SH Kim, M Kim, CS Lee, SH Byeon, SS Kim, J Yeo, EY Choi Scientific reports 12 (1), 18689, 2022 | 12 | 2022 |
| Visual choice of plausible alternatives: An evaluation of image-based commonsense causal reasoning J Yeo, G Lee, G Wang, S Choi, H Cho, RK Amplayo, S Hwang Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 11 | 2018 |
| Machine-translated knowledge transfer for commonsense causal reasoning J Yeo, G Wang, H Cho, S Choi, S Hwang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 11 | 2018 |
| Trustal: Trustworthy active learning using knowledge distillation B Kwak, Y Kim, YJ Kim, S Hwang, J Yeo Proceedings of the AAAI conference on artificial intelligence 36 (7), 7263-7271, 2022 | 10 | 2022 |
| Natural language processing to predict isocitrate dehydrogenase genotype in diffuse glioma using MR radiology reports M Kim, KT Ong, S Choi, J Yeo, S Kim, K Han, JE Park, HS Kim, YS Choi, ... European Radiology 33 (11), 8017-8025, 2023 | 9 | 2023 |
| Cotever: Chain of thought prompting annotation toolkit for explanation verification S Kim, SJ Joo, Y Jang, H Chae, J Yeo arXiv preprint arXiv:2303.03628, 2023 | 9 | 2023 |