Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation. - Dongjin Kang; Sunghwan Kim 005; 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 005; Taeyoon Kwon; Jiwan Chung; Youngjae Yu; Jinyoung Yeo (EMNLP, 2024)

Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory. - Suyeon Lee; Sunghwan Kim 005; Minju Kim; Dongjin Kang; Dongil Yang; Harim Kim; Minseok Kang; Dayi Jung; Min Hee Kim; Seungbeen Lee; Kyoung-Mee Chung; Youngjae Yu; et al. (EMNLP (Findings), 2024)

Evaluating Robustness of Reward Models for Mathematical Reasoning. - Sunghwan Kim 005; Dongjin Kang; Taeyoon Kwon; Hyungjoo Chae; Jungsoo Won; Dongha Lee 003; Jinyoung Yeo (CoRR, 2024)

Stop Playing the Guessing Game! Target-free User Simulation for Evaluating Conversational Recommender Systems. - Sunghwan Kim 005; Tongyoung Kim; Kwangwook Seo; Jinyoung Yeo; Dongha Lee 003 (CoRR, 2024)

Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization. - Sunghwan Kim 005; Dongjin Kang; Taeyoon Kwon; Hyungjoo Chae; Dongha Lee 003; Jinyoung Yeo (ACL (1), 2025)

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study. - Dongil Yang; Minjin Kim; Sunghwan Kim 005; Beong-woo Kwak; Minjun Park; Jinseok Hong; Woontack Woo; Jinyoung Yeo (ACL (1), 2025)

ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions. - Beong-woo Kwak; Minju Kim; Dongha Lim; Hyungjoo Chae; Dongjin Kang; Sunghwan Kim 005; Dongil Yang; Jinyoung Yeo (EMNLP (Findings), 2025)

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 005; Dongha Lee 003; Jinyoung Yeo (ICLR, 2025)

Towards Personalized Conversational Sales Agents : Contextual User Profiling for Strategic Action. - Tongyoung Kim; Jeongeun Lee; Soojin Yoon 001; Sunghwan Kim 005; Dongha Lee 003 (CoRR, 2025)

Web-Shepherd: Advancing PRMs for Reinforcing Web Agents. - Hyungjoo Chae; Sunghwan Kim 005; 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 005; Hyojun Kim; Seungjun Moon; Beong-woo Kwak; Kuan-Hao Huang; Jinyoung Yeo (CoRR, 2025)

AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping. - Sunghwan Kim 005; Ryang Heo; Yongsik Seo; Jinyoung Yeo; Dongha Lee 003 (WWW, 2026)

Success and failure of human-AI collaboration in clinical reasoning: An experimental study on challenging real-world cases. - Kai Tzu-iunn Ong; Junwon Seo; Hyojun Kim; Jiwoo Kim; Jihoon Kim; Sunghwan Kim 005; Jinyoung Yeo; Eun Young Choi (Int. J. Medical Informatics, 2026)

On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length. - Sunghwan Kim 005; Junhee Cho; Beong-woo Kwak; Taeyoon Kwon; Liang Wang; Nan Yang; Xingxing Zhang; Furu Wei; Jinyoung Yeo (CoRR, 2026)