Taeyoon Kwon

According to our database, Taeyoon Kwon authored at least 10 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluating Robustness of Reward Models for Mathematical Reasoning.

Sunghwan Kim, Dongjin Kang, Taeyoon Kwon, Hyungjoo Chae, Jungsoo Won, Dongha Lee, Jinyoung Yeo

CoRR, 2024

Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations.

Kai Tzu-iunn Ong, Taeyoon Kwon, Jinyoung Yeo

CoRR, 2024

THEANINE: Revisiting Memory Management in Long-term Conversations with Timeline-augmented Response Generation.

Seo Hyun Kim, Kai Tzu-iunn Ong, Taeyoon Kwon, Namyoung Kim, Keummin Ka, Seonghyeon Bae, Yohan Jo, Seung-won Hwang, Dongha Lee, Jinyoung Yeo

CoRR, 2024

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models.

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

CoRR, 2024

Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code.

Hyungjoo Chae, Taeyoon Kwon, Seungjun Moon, Yongho Song, Dongjin Kang, Kai Tzu-iunn Ong, Beong-woo Kwak, Seonghyeon Bae, Seung-won Hwang, Jinyoung Yeo

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models.

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation.

Dongjin Kang, Sunghwan Kim, Taeyoon Kwon, Seungjun Moon, Hyunsouk Cho, Youngjae Yu, Dongha Lee, Jinyoung Yeo

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales.

Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Beomseok Sohn, Yongsik Sim, Dongha Lee, Jinyoung Yeo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback.

Seungjun Moon, Yongho Song, Hyungjoo Chae, Dongjin Kang, Taeyoon Kwon, Kai Tzu-iunn Ong, Seung-won Hwang, Jinyoung Yeo

CoRR, 2023

Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents.

Hyungjoo Chae, Yongho Song, Kai Tzu-iunn Ong, Taeyoon Kwon, Minjin Kim, Youngjae Yu, Dongha Lee, Dongyeop Kang, Jinyoung Yeo

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023