5 citations · 6 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines
Yumeng Fu, Jiayin Zhu, Lingling Zhang +5
Geometry problem solving (GPS) poses significant challenges for Multimodal Large Language Models (MLLMs) in diagram comprehension, knowledge application, long-step reasoning, and a…
BeMERC: Behavior-Aware MLLM-based Framework for Multimodal Emotion Recognition in Conversation
Yumeng Fu, Junjie Wu, Zhongjie Wang +3
Multimodal emotion recognition in conversation (MERC), the task of identifying the emotion label for each utterance in a conversation, is vital for developing empathetic machines.…
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…