Taeyoon (Connor) Kwon
M.S., Yonsei University
kwonconnor101 [AT] yonsei.ac.kr
About
Hello! I am currently a M.S. student at the Language & AGI Lab at Yonsei University, advised by Prof. Jinyoung Yeo.
My research interests are centered around establishing science on LLMs' generation behavior.
Building on this foundation, I aim to continuously expand LLMs’ potential towards generalist agents that understand world knowledge and assist users regardless of situation.
To achieve this vision, my research focuses on (1) analyzing LLMs in diverse real-world contexts and (2) enhancing their capabilities based on these analyses.
My ultimate research goal is to design systems that enhance people’s quality of life, in a reliable and responsible manner.
Below are some keywords of my recent research interests:
- Language Agents
- Embodied AI
- Reasoning & Planning
- AI for Science
Publications
‡ indicates equal contribution.
Towards Lifelong Dialogue Agents via Timeline-based Memory Management
Kai Tzu-iunn Ong‡, Namyoung Kim‡, Minju Gwak, Hyungjoo Chae,Taeyoon Kwon, Yohan Jo, Seung-won Hwang, Dongha Lee, Jinyoung Yeo
NACCL'25: The 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics. 2025
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
EMNLP'24: 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, Seonghwan Kim, Taeyoon Kwon, Jiwan Chung, Youngjae Yu, Jinyoung Yeo
EMNLP'24: 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
Outstanding Paper Award ACL'24: The 62nd Annual Meeting of the Association for Computational Linguistics. 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, Yongsik Sim, Beomseok Sohn, Dongha Lee, Jinyoung Yeo
AAAI'24: The 38th Annual AAAI Conference on Artificial Intelligence. 2024.
Multi-task Deep Learning for Joint Detection of Necrotizing Viral and Non-infectious Retinitis from Common Blood and Serology Test Data
Kai Tzu-iunn Ong‡, Taeyoon Kwon‡, Harok Jang, Min Kim, Christopher Seungkyu Lee, Suk Ho Byeon, Sung Soo Kim, Jinyoung Yeo, Eun Young Choi
IOVS: Investigative Ophthalmology & Visual Science, 2024.
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
EMNLP'23: The 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
Evaluating Robustness of Reward Models for Mathematical Reasoning
Sunghwan Kim‡, Dongjin Kang‡, Taeyoon Kwon, Hyungjoo Chae, Jungsoo Won, Dongha Lee, Jinyoung Yeo
Arxiv preprint.
Towards Lifelong Dialogue Agents via Timeline-based Memory Management
Kai Tzu-iunn Ong‡, Namyoung Kim‡, Minju Gwak, Hyungjoo Chae,Taeyoon Kwon, Yohan Jo, Seung-won Hwang, Dongha Lee, Jinyoung Yeo
NACCL'25: The 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics. 2025
Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations
Kai Tzu-iunn Ong‡, Taeyoon Kwon, Jinyoung Yeo
Arxiv preprint.
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
EMNLP'24: 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, Seonghwan Kim, Taeyoon Kwon, Jiwan Chung, Youngjae Yu, Jinyoung Yeo
EMNLP'24: 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
Outstanding Paper Award ACL'24: The 62nd Annual Meeting of the Association for Computational Linguistics. 2024
Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback
Seungjun Moon‡, Yongho Song‡, Hyungjoo Chae‡, Taeyoon Kwon, Dongjin Kang, Kai Tzu-iunn Ong, Seung-won Hwang, Jinyoung Yeo
Arxiv preprint.
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, Yongsik Sim, Beomseok Sohn, Dongha Lee, Jinyoung Yeo
AAAI'24: The 38th Annual AAAI Conference on Artificial Intelligence. 2024.
Multi-task Deep Learning for Joint Detection of Necrotizing Viral and Non-infectious Retinitis from Common Blood and Serology Test Data
Kai Tzu-iunn Ong‡, Taeyoon Kwon‡, Harok Jang, Min Kim, Christopher Seungkyu Lee, Suk Ho Byeon, Sung Soo Kim, Jinyoung Yeo, Eun Young Choi
IOVS: Investigative Ophthalmology & Visual Science, 2024.
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
EMNLP'23: The 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
Vitæ
Full CV in PDF.-
DLI Lab. @ Yonsei Sep.2023 - presentM.S. in AI
Advisor: Jinyoung Yeo -
Tutoring - Market Designers Inc. Mar.2023 - Aug.2024Part-time Research Scientist and NLP Engineer
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Convei Lab. @ Yonsei Oct.2022 - Sep.2023Undergraduate Research Intern
Advisor: Jinyoung Yeo -
Data Science Lab. @ HYU Jun.2022 - Nov.2022Undergraduate Research Intern
Advisor: Woohwan Jung -
SE Lab. @ HYU Aug.2021 - Jun.2022Undergraduate Research Intern
Advisor: Scott Uk-Jin Lee -
Speechtools Ltd Dec.2021 - Apr.2022Intern
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Hanyang University (ERICA) Mar.2017 - Feb.2023B.S. in Computer Science