Image de couverture de livre

Large Language Models and Provenance Metadata for Determining the Relevance of Images and Videos in News Stories

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Peterka, Tomas, Bohacek, Matyas
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Computer Vision and Pattern Recognition Computers and Society
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Dataset of News Articles with Provenance Metadata for Media Relevance Assessment
par: Peterka, Tomas, et autres
Publié: (2025)

GenAI Confessions: Black-box Membership Inference for Generative Image Models
par: Bohacek, Matyas, et autres
Publié: (2025)

Synthetic Human Action Video Data Generation with Pose Transfer
par: Knapp, Vaclav, et autres
Publié: (2025)

Nepotistically Trained Generative-AI Models Collapse
par: Bohacek, Matyas, et autres
Publié: (2023)

The Use of Multimodal Large Language Models to Detect Objects from Thermal Images: Transportation Applications
par: Ashqar, Huthaifa I., et autres
Publié: (2024)

Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images
par: Fraser, Kathleen C., et autres
Publié: (2024)

MM-Soc: Benchmarking Multimodal Large Language Models in Social Media Platforms
par: Jin, Yiqiao, et autres
Publié: (2024)

Can Pose Transfer Models Generate Realistic Human Motion?
par: Knapp, Vaclav, et autres
Publié: (2025)

VideoNorms: Benchmarking Cultural Awareness of Video Language Models
par: Varimalla, Nikhil Reddy, et autres
Publié: (2025)

A Longitudinal Analysis of Racial and Gender Bias in New York Times and Fox News Images and Articles
par: Ibrahim, Hazem, et autres
Publié: (2024)

Human Action CLIPs: Detecting AI-generated Human Motion
par: Bohacek, Matyas, et autres
Publié: (2024)

Stable Signer: Hierarchical Sign Language Generative Model
par: Fang, Sen, et autres
Publié: (2025)

Are Vision Language Models Cross-Cultural Theory of Mind Reasoners?
par: Nazi, Zabir Al, et autres
Publié: (2025)

A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models
par: Sathe, Ashutosh, et autres
Publié: (2024)

The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose Errors
par: Lucy, Li, et autres
Publié: (2026)

Uncovering Conceptual Blindspots in Generative Image Models Using Sparse Autoencoders
par: Bohacek, Matyas, et autres
Publié: (2025)

Describing Differences in Image Sets with Natural Language
par: Dunlap, Lisa, et autres
Publié: (2023)

ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation
par: Jha, Akshita, et autres
Publié: (2024)

Semantic and Expressive Variation in Image Captions Across Languages
par: Ye, Andre, et autres
Publié: (2023)

FigSIM: A Dataset for Fine-grained Suicide Severity and Figurative Language in Suicide Memes
par: Chen, Liuliu, et autres
Publié: (2026)

SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
par: Qi, Peng, et autres
Publié: (2024)

Video Understanding with Large Language Models: A Survey
par: Tang, Yolo Y., et autres
Publié: (2023)

Compliance Rating Scheme: A Data Provenance Framework for Generative AI Datasets
par: Bohacek, Matyas, et autres
Publié: (2025)

Auditing Gender Presentation Differences in Text-to-Image Models
par: Zhang, Yanzhe, et autres
Publié: (2023)

Investigating Disability Representations in Text-to-Image Models
par: Tian, Yang, et autres
Publié: (2026)

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models
par: Yoon, Eunseop, et autres
Publié: (2025)

Identifying Implicit Social Biases in Vision-Language Models
par: Hamidieh, Kimia, et autres
Publié: (2024)

Vision-Language Models under Cultural and Inclusive Considerations
par: Karamolegkou, Antonia, et autres
Publié: (2024)

Frame-Voyager: Learning to Query Frames for Video Large Language Models
par: Yu, Sicheng, et autres
Publié: (2024)

Cultural Awareness in Vision-Language Models: A Cross-Country Exploration
par: Madasu, Avinash, et autres
Publié: (2025)

Beyond Translation: Cross-Cultural Meme Transcreation with Vision-Language Models
par: Zhao, Yuming, et autres
Publié: (2026)

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
par: Xia, Peng, et autres
Publié: (2024)

Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding
par: Li, Yun, et autres
Publié: (2025)

HieraVid: Hierarchical Token Pruning for Fast Video Large Language Models
par: Guo, Yansong, et autres
Publié: (2026)

Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting
par: Cai, Chen, et autres
Publié: (2024)

The Impact of Image Resolution on Biomedical Multimodal Large Language Models
par: Chen, Liangyu, et autres
Publié: (2025)

Benchmarking Large Language Models for Image Classification of Marine Mammals
par: Qi, Yijiashun, et autres
Publié: (2024)

Closing the Gap: Data-Centric Fine-Tuning of Vision Language Models for the Standardized Exam Questions
par: Sert, Egemen, et autres
Publié: (2025)

Low-Rank Adaptation with Task-Relevant Feature Enhancement for Fine-tuning Language Models
par: Li, Changqun, et autres
Publié: (2024)

DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception
par: Luo, Run, et autres
Publié: (2024)