RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization. - Seonglae Cho; Yonggi Cho; HoonJae Lee; Myungha Jang; Jinyoung Yeo; Dongha Lee 003 (CoRR, 2023)

RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization. - Seonglae Cho; Myungha Jang; Jinyoung Yeo; Dongha Lee 003 (NAACL (Demonstrations), 2024)

LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries. - Zekun Wu 003; Seonglae Cho; Umar Mohammed; Cristian E. Muñoz; Kleyton da Costa; Xin Guan; Theo King; Ze Wang; Emre Kazim; Adriano S. Koshiyama (CoRR, 2025)

FaithfulSAE: Towards Capturing Faithful Features with Sparse Autoencoders without External Dataset Dependencies. - Seonglae Cho; Harryn Oh; Donghyun Lee; Luis Eduardo Rodrigues Vieira; Andrew Bermingham; Ziad El Sayed (CoRR, 2025)