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2020 – today
- 2024
[c5]Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Beomseok Sohn, Yongsik Sim, Dongha Lee, Jinyoung Yeo:
Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales. AAAI 2024: 18417-18425- [c4]Dongjin Kang, Sunghwan Kim, Taeyoon Kwon, Seungjun Moon, Hyunsouk Cho, Youngjae Yu, Dongha Lee, Jinyoung Yeo:
Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation. ACL (1) 2024: 15232-15261 - [c3]Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim, Kai Tzu-iunn Ong, Beong-woo Kwak, Moohyeon Kim, Sunghwan Kim, Taeyoon Kwon, Jiwan Chung, Youngjae Yu, Jinyoung Yeo:
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models. EMNLP 2024: 22471-22502 - [c2]Hyungjoo Chae, Taeyoon Kwon, Seungjun Moon, Yongho Song, Dongjin Kang, Kai Tzu-iunn Ong, Beong-woo Kwak, Seonghyeon Bae, Seung-won Hwang, Jinyoung Yeo:
Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code. EMNLP 2024: 22503-22524 - [i9]Dongjin Kang, Sunghwan Kim, Taeyoon Kwon, Seungjun Moon, Hyunsouk Cho, Youngjae Yu, Dongha Lee, Jinyoung Yeo:
Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation. CoRR abs/2402.13211 (2024) - [i8]Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim, Kai Tzu-iunn Ong, Beong-woo Kwak, Moohyeon Kim, Seonghwan Kim, Taeyoon Kwon, Jiwan Chung, Youngjae Yu, Jinyoung Yeo:
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models. CoRR abs/2404.02575 (2024) - [i7]Seo Hyun Kim, Kai Tzu-iunn Ong, Taeyoon Kwon, Namyoung Kim, Keummin Ka, Seonghyeon Bae, Yohan Jo, Seung-won Hwang, Dongha Lee, Jinyoung Yeo:
THEANINE: Revisiting Memory Management in Long-term Conversations with Timeline-augmented Response Generation. CoRR abs/2406.10996 (2024) - [i6]Kai Tzu-iunn Ong, Taeyoon Kwon, Jinyoung Yeo:
Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations. CoRR abs/2408.12315 (2024) - [i5]Hyungjoo Chae, Taeyoon Kwon, Seungjun Moon, Yongho Song, Dongjin Kang, Kai Tzu-iunn Ong, Beong-woo Kwak, Seonghyeon Bae, Seung-won Hwang, Jinyoung Yeo:
Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code. CoRR abs/2409.19715 (2024) - [i4]Sunghwan Kim, Dongjin Kang, Taeyoon Kwon, Hyungjoo Chae, Jungsoo Won, Dongha Lee, Jinyoung Yeo:
Evaluating Robustness of Reward Models for Mathematical Reasoning. CoRR abs/2410.01729 (2024) - 2023
- [c1]Hyungjoo Chae, Yongho Song, Kai Tzu-iunn Ong, Taeyoon Kwon, Minjin Kim, Youngjae Yu, Dongha Lee, Dongyeop Kang, Jinyoung Yeo:
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents. EMNLP 2023: 5606-5632 - [i3]Hyungjoo Chae, Yongho Song, Kai Tzu-iunn Ong, Taeyoon Kwon, Minjin Kim, Youngjae Yu, Dongha Lee, Dongyeop Kang, Jinyoung Yeo:
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents. CoRR abs/2310.09343 (2023) - [i2]Seungjun Moon, Yongho Song, Hyungjoo Chae, Dongjin Kang, Taeyoon Kwon, Kai Tzu-iunn Ong, Seung-won Hwang, Jinyoung Yeo:
Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback. CoRR abs/2311.07215 (2023) - [i1]Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Yongsik Sim, Beomseok Sohn, Dongha Lee, Jinyoung Yeo:
Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales. CoRR abs/2312.07399 (2023)
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