Cover Image

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Junjie, Fu, Yumeng, Yu, Nan, Fu, Guohong
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Multimedia
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HiEAG: Evidence-Augmented Generation for Out-of-Context Misinformation Detection
by: Wu, Junjie, et al.
Published: (2025)

Exploring Modality Disruption in Multimodal Fake News Detection
by: Liu, Moyang, et al.
Published: (2025)

Deconfounded Reasoning for Multimodal Fake News Detection via Causal Intervention
by: Liu, Moyang, et al.
Published: (2025)

QoS-QoE Translation with Large Language Model
by: Yu, Yingjie, et al.
Published: (2026)

OOD-GraphLLM: Graph Large Language Model for Out-of-Distribution Generalized Drug Synergy Prediction
by: Wang, Xin, et al.
Published: (2026)

Multimodal Misinformation Detection using Large Vision-Language Models
by: Tahmasebi, Sahar, et al.
Published: (2024)

SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
by: Qi, Peng, et al.
Published: (2024)

'No' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue
by: Gao, Rena, et al.
Published: (2024)

Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target Tokens
by: Yang, Xikang, et al.
Published: (2024)

Exploring the Role of Audio in Multimodal Misinformation Detection
by: Liu, Moyang, et al.
Published: (2024)

Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models
by: Wang, Qingni, et al.
Published: (2024)

MCAD: Multimodal Context-Aware Audio Description Generation For Soccer
by: Chaudhary, Lipisha, et al.
Published: (2025)

Multimodal Large Language Models for Medicine: A Comprehensive Survey
by: Ye, Jiarui, et al.
Published: (2025)

Harmful Visual Content Manipulation Matters in Misinformation Detection Under Multimedia Scenarios
by: Wang, Bing, et al.
Published: (2026)

Insight-A: Attribution-aware for Multimodal Misinformation Detection
by: Wu, Junjie, et al.
Published: (2025)

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection
by: Yan, Zehong, et al.
Published: (2025)

KMMMU: Evaluation of Massive Multi-discipline Multimodal Understanding in Korean Language and Context
by: Lee, Nahyun, et al.
Published: (2026)

Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models
by: Ren, Jie, et al.
Published: (2024)

CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation Detection
by: Li, Fanxiao, et al.
Published: (2025)

SoMeLVLM: A Large Vision Language Model for Social Media Processing
by: Zhang, Xinnong, et al.
Published: (2024)

FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models
by: Zhang, Yao, et al.
Published: (2025)

Unified Hallucination Detection for Multimodal Large Language Models
by: Chen, Xiang, et al.
Published: (2024)

Bridging Compressed Image Latents and Multimodal Large Language Models
by: Kao, Chia-Hao, et al.
Published: (2024)

ChemDFM-X: Towards Large Multimodal Model for Chemistry
by: Zhao, Zihan, et al.
Published: (2024)

GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection
by: Dhawan, Mudit, et al.
Published: (2022)

HyperFusion: Hierarchical Multimodal Ensemble Learning for Social Media Popularity Prediction
by: Ye, Liliang, et al.
Published: (2025)

Automating Steering for Safe Multimodal Large Language Models
by: Wu, Lyucheng, et al.
Published: (2025)

DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text
by: Munyer, Travis, et al.
Published: (2023)

Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification
by: Qin, Yang, et al.
Published: (2025)

Doctor Sun: A Bilingual Multimodal Large Language Model for Biomedical AI
by: Xue, Dong, et al.
Published: (2025)

Unveiling Covert Toxicity in Multimodal Data via Toxicity Association Graphs: A Graph-Based Metric and Interpretable Detection Framework
by: Wu, Guanzong, et al.
Published: (2026)

Multimodal Representation Learning and Fusion
by: Jin, Qihang, et al.
Published: (2025)

Hyper-modal Imputation Diffusion Embedding with Dual-Distillation for Federated Multimodal Knowledge Graph Completion
by: Zhang, Ying, et al.
Published: (2025)

Detecting Multimedia Generated by Large AI Models: A Survey
by: Lin, Li, et al.
Published: (2024)

Balanced Multimodal Learning: An Unidirectional Dynamic Interaction Perspective
by: Wang, Shijie, et al.
Published: (2025)

Zero-Shot Relational Learning for Multimodal Knowledge Graphs
by: Cai, Rui, et al.
Published: (2024)

MCIGLE: Multimodal Exemplar-Free Class-Incremental Graph Learning
by: You, Haochen, et al.
Published: (2025)

To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance
by: Fang, Wanlong, et al.
Published: (2025)

X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models
by: Sun, Zeyi, et al.
Published: (2024)

CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detection
by: Pan, Junjun, et al.
Published: (2026)