6 papers
HiEAG: Evidence-Augmented Generation for Out-of-Context Misinformation Detection
Junjie Wu, Yumeng Fu, Nan Yu +1
Recent advancements in multimodal out-of-context (OOC) misinformation detection have made remarkable progress in checking the consistencies between different modalities for support…
Insight-A: Attribution-aware for Multimodal Misinformation Detection
Junjie Wu, Yumeng Fu, Chen Gong +1
AI-generated content (AIGC) technology has emerged as a prevalent alternative to create multimodal misinformation on social media platforms, posing unprecedented threats to societa…
MMD-Thinker: Adaptive Multi-Dimensional Thinking for Multimodal Misinformation Detection
Junjie Wu, Guohong Fu
Multimodal misinformation floods on various social media, and continues to evolve in the era of AI-generated content (AIGC). The emerged misinformation with low creation cost and h…
Multimodal Coreference Resolution for Chinese Social Media Dialogues: Dataset and Benchmark Approach
Xingyu Li, Chen Gong, Guohong Fu
Multimodal coreference resolution (MCR) aims to identify mentions referring to the same entity across different modalities, such as text and visuals, and is essential for understan…
ChatMol: A Versatile Molecule Designer Based on the Numerically Enhanced Large Language Model
Chuanliu Fan, Ziqiang Cao, Zicheng Ma +5
Goal-oriented de novo molecule design, namely generating molecules with specific property or substructure constraints, is a crucial yet challenging task in drug discovery. Existing…
E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection
Junjie Wu, Yumeng Fu, Nan Yu +1
Recent studies in Large Vision-Language Models (LVLMs) have demonstrated impressive advancements in multimodal Out-of-Context (OOC) misinformation detection, discerning whether an…