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 003; Dongyeop Kang; Jinyoung Yeo (EMNLP, 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)

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 003; Jinyoung Yeo (AAAI, 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 003; Jinyoung Yeo (ACL (1), 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 (EMNLP, 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 (EMNLP, 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 004; Taeyoon Kwon; Jiwan Chung; Youngjae Yu; 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 003; 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)

Evaluating Robustness of Reward Models for Mathematical Reasoning. - Sunghwan Kim; Dongjin Kang; Taeyoon Kwon; Hyungjoo Chae; Jungsoo Won; Dongha Lee 003; Jinyoung Yeo (CoRR, 2024)

Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization. - Sunghwan Kim; Dongjin Kang; Taeyoon Kwon; Hyungjoo Chae; Dongha Lee 003; Jinyoung Yeo (ACL (1), 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 003; Jinyoung Yeo (NAACL (Long Papers), 2025)

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; et al. (CoRR, 2025)

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 (CoRR, 2025)

Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance. - Dongwook Choi; Taeyoon Kwon; Dongil Yang; Hyojun Kim; Jinyoung Yeo (CoRR, 2025)