Abruptly-Switching MoS₂-Channel Atomic-Threshold-Switching Field-Effect Transistor With AgTi/HfO₂-Based Threshold Switching Device. - Sojin Jeong; Sangwoo Han; Ho-Jun Lee; Deokjoon Eom; Gisu Youm; Yejoo Choi; Seungjun Moon; Kyungjin Ahn; Jinju Oh; Changhwan Shin (IEEE Access, 2021)

IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion. - Seungjun Moon; Gyeong-Moon Park (CoRR, 2022)

Impact of Chamber/Annealing Temperature on the Endurance Characteristic of Zr: HfO2 Ferroelectric Capacitor. - Yejoo Choi; Changwoo Han; Jaemin Shin 003; Seungjun Moon; Jinhong Min; Hyeonjung Park; Deokjoon Eom; Jehoon Lee; Changhwan Shin (Sensors, 2022)

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)

Generative Unlearning for Any Identity. - Juwon Seo; Sung-Hoon Lee; Tae-Young Lee; Seungjun Moon; Gyeong-Moon Park (CVPR, 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)

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)

EPSilon: Efficient Point Sampling for Lightening of Hybrid-based 3D Avatar Generation. - Seungjun Moon; Sangjoon Yu; Gyeong-Moon Park (CoRR, 2025)

GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar. - Seungjun Moon; Hah Min Lew; Seungeun Lee; Ji-Su Kang; Gyeong-Moon Park (CoRR, 2025)