Dual Task Framework for Improving Persona-Grounded Dialogue Dataset. - Minju Kim; Beong-woo Kwak; Youngwook Kim; Hong-in Lee; Seung-won Hwang; Jinyoung Yeo (AAAI, 2022)

TrustAL: Trustworthy Active Learning Using Knowledge Distillation. - Beong-woo Kwak; Youngwook Kim; Yu Jin Kim; Seung-won Hwang; Jinyoung Yeo (AAAI, 2022)

Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning. - Yu Jin Kim; Beong-woo Kwak; Youngwook Kim; Reinald Kim Amplayo; Seung-won Hwang; Jinyoung Yeo (NAACL-HLT, 2022)

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. - Minjin Kim; Minju Kim; Hana Kim; Beong-woo Kwak; SeongKu Kang; Youngjae Yu; Jinyoung Yeo; Dongha Lee 003 (ACL (Findings), 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)

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. - Minjin Kim; Minju Kim; Hana Kim; Beong-woo Kwak; Soyeon Chun; Hyunseo Kim 002; SeongKu Kang; Youngjae Yu; Jinyoung Yeo; Dongha Lee 003 (CoRR, 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)

Can You Share Your Story? Modeling Clients' Metacognition and Openness for LLM Therapist Evaluation. - Minju Kim; Dongje Yoo; Yeonjun Hwang; Minseok Kang; Namyoung Kim; Minju Gwak; Beong-woo Kwak; Hyungjoo Chae; Harim Kim; Yunjoong Lee; Min Hee Kim; Dayi Jung; et al. (ACL (Findings), 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; Beong-woo Kwak; Minjun Park; Jinseok Hong; Woontack Woo; Jinyoung Yeo (ACL (1), 2025)

Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics. - Seungbeen Lee; Seungwon Lim; Seungju Han 002; Giyeong Oh; Hyungjoo Chae; Jiwan Chung; Minju Kim; Beong-woo Kwak; Yeonsoo Lee; Dongha Lee 003; Jinyoung Yeo; Youngjae Yu (NAACL (Findings), 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)

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; Dongil Yang; Jinyoung Yeo (CoRR, 2025)

One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL. - Hyungjoo Chae; Dongjin Kang; Jihyuk Kim; Beong-woo Kwak; Sunghyun Park 005; Haeju Park; Jinyoung Yeo; Moontae Lee; Kyungjae Lee 002 (CoRR, 2025)