Taeyoon (Connor) Kwon

Embodied Agents Meet Personalization: Exploring Memory Utilization for Personalized Assistance

Taeyoon Kwon^‡, Dongwook Choi^‡, Sunghwan Kim, Hyojun Kim, Seungjun Moon, Beong-woo Kwak, Kuan-Hao Huang, Jinyoung Yeo

Arxiv preprint.

Web-Shepherd: Advancing PRMs for Reinforcing Web Agents

Hyungjoo Chae^‡, Sunghwan Kim^‡, Junhee Cho^‡, Seungone Kim, Seungjun Moon, Gyeom Hwangbo, Dongha Lim, Minjin Kim, Yeonjun Hwang, Minju Gwak, Dongwook Choi, Minseok Kang, Gwanhoon Im, ByeongUng Cho, Hyojun Kim, Jun Hee Han, Taeyoon Kwon, Minju Kim, Beong-woo Kwak, Dongjin Kang, Jinyoung Yeo

Arxiv preprint.

Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization

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

ACL'25: The 63rd Annual Meeting of the Association for Computational Linguistics. 2025

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

Evaluating Robustness of Reward Models for Mathematical Reasoning

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

Arxiv preprint.

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

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.

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.

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.