3 papers
cs.IR2026
Subtraction Gets You More: Gap-Aware Retrieval for Multimodal Multi-Hop QA
Sunah O, Jay-Yoon Lee
In multimodal multi-hop question answering, we focus on the initial retrieval stage via two distinct tasks: (1) evidence set completion, retrieving missing evidence given context,…
cs.CV2025
TRUST-VL: An Explainable News Assistant for General Multimodal Misinformation Detection
Zehong Yan, Peng Qi, Wynne Hsu +1
Multimodal misinformation, encompassing textual, visual, and cross-modal distortions, poses an increasing societal threat that is amplified by generative AI. Existing methods typic…
cs.MM2025
Mitigating GenAI-Powered Evidence Pollution for Out-Of-Context Misinformation Detection
Zehong Yan, Peng Qi, Wynne Hsu +1
While generative artificial intelligence (GenAI) models have achieved significant success, their misuse for generating deceptive content raises growing concerns about online inform…