most citedE2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection

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cs.CL2026

Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge

Junjie Wu, Xuan Kan, Zihao He +3

Multimodal Large Language Models (MLLMs) have been widely adopted as MLLM-as-a-Judges due to their strong alignment with human judgment across various visual tasks. However, most e…

cs.CL2025

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…

cs.CL2025

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…