| 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 | 19 | 2023 |
| 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 | 8 | 2024 |
| Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback S Moon, Y Song, H Chae, D Kang, T Kwon, KT Ong, S Hwang, J Yeo arXiv preprint arXiv:2311.07215, 2023 | 7 | 2023 |
| Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models H Chae, Y Kim, S Kim, KT Ong, B Kwak, M Kim, S Kim, T Kwon, J Chung, ... arXiv preprint arXiv:2404.02575, 2024 | 4 | 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 | 3 | 2024 |
| Multitask Deep Learning for Joint Detection of Necrotizing Viral and Noninfectious Retinitis From Common Blood and Serology Test Data KT Ong, T Kwon, H Jang, M Kim, CS Lee, SH Byeon, SS Kim, J Yeo, ... Investigative Ophthalmology & Visual Science 65 (2), 5-5, 2024 | 2 | 2024 |
| THEANINE: Revisiting Memory Management in Long-term Conversations with Timeline-augmented Response Generation SH Kim, KT Ong, T Kwon, N Kim, K Ka, SH Bae, Y Jo, S Hwang, D Lee, ... arXiv preprint arXiv:2406.10996, 2024 | 1 | 2024 |
| Evaluating Robustness of Reward Models for Mathematical Reasoning S Kim, D Kang, T Kwon, H Chae, J Won, D Lee, J Yeo arXiv preprint arXiv:2410.01729, 2024 | | 2024 |
| Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code H Chae, T Kwon, S Moon, Y Song, D Kang, KT Ong, B Kwak, S Bae, ... arXiv preprint arXiv:2409.19715, 2024 | | 2024 |
| Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations KT Ong, T Kwon, J Yeo arXiv preprint arXiv:2408.12315, 2024 | | 2024 |
Jinyoung YeoYonsei UniversityVerified email at yonsei.ac.kr
