About me

Hello! I’m Chaewan Chun (Chae).

I’m a Ph.D. candidate in Informatics at The Pennsylvania State University, advised by Dr. Dongwon Lee. My research focuses on multimodal misinformation detection, especially fact-checking in spoken, conversational audio. I build datasets and methods that aim for positive social impact by improving information integrity.

Before my Ph.D., I completed dual B.S. degrees in Computer Science (Magna Cum Laude) and Mathematics (Cum Laude), along with a minor in Statistics, at Penn State as a Schreyer Honors College scholar.

Interests: Machine Learning; Generative AI; Large Language Models; Computer Vision; Speech & Audio Processing; Multimodal Learning; Information Retrieval

Updates

🎉 Apr 2026 · "When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms" accepted at ACL main😆!!
📄 Mar 2026 · "Mapping the Flow of Painterly Gesture" accepted at Patterns
🏆 Feb 2026 · Penn State team selected as global Top-10 in Amazon Nova AI Challenge
📄 Feb 2026 · Two papers submitted to Interspeech 2026 (under review)
📄 Feb 2026 · "Brushstroke Analysis of Monet's Water Lilies" accepted at IEEE TPAMI
🎓 Dec 2025 · Passed PhD Comprehensive Exam
📄 Nov 2025 · Attended Grace Hopper Celebration 2025 in Chicago
📄 Oct 2025 · Paper submitted to ACL ARR 2026
🎤 Oct 2025 · Presented MAD poster at SBP-BRiMS 2025 at CMU
📄 Aug 2025 · MAD accepted at SBP-BRiMS 2025
🎤 Apr 2025 · Presented poster at MASC-SLL Symposium

Publications

SBP-BRiMS

MAD: A Benchmark for Multi-Turn Audio Dialogue Fact-Checking

Chaewan Chun, Lysandre Terrisse, Delvin Ce Zhang, and Dongwon Lee
International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), Working paper, 2025