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)

Evidence-Empowered Transfer Learning for Alzheimer's Disease. - Kai Tzu-iunn Ong; Hana Kim; Minjin Kim; Jinseong Jang; Beomseok Sohn; Yoon Seong Choi; Dosik Hwang; Seong Jae Hwang; Jinyoung Yeo (ISBI, 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)

Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement. - Hana Kim; Kai Tzu-iunn Ong; Seoyeon Kim; Dongha Lee 003; Jinyoung Yeo (EACL (2), 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)

Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation. - Hyungjoo Chae; Namyoung Kim; Kai Tzu-iunn Ong; Minju Gwak; Gwanwoo Song; Jihoon Kim; Sunghwan Kim; Dongha Lee 003; Jinyoung Yeo (ICLR, 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)