Latest Articles for Hallucinations

This article discusses the issues of hallucinations in LVLMs and potential solutions.

VidHal benchmarks video models' ability to accurately interpret content.

Learn how knowledge-enhanced language models improve accuracy and reliability.

GraphJudger cleans data to improve Knowledge Graph creation from messy information.

New method reduces errors in AI image analysis and response generation.

New method enhances understanding and trust in multimodal models.

New tool aims to detect false patterns in virtual histology images.

Researchers find ways to reduce inaccuracies in large vision-language models.

Uncertainty quantification enhances the accuracy of automated radiology reports.

Research highlights the challenge of verb understanding in multimodal AI models.

EACO reduces AI errors and enhances reasoning for better performance.

Researchers develop a new method to improve text-to-image AI accuracy.

Discover the importance of uncertainty quantification in improving AI reliability.

Discover how LLMs are changing telecommunications while facing challenges with hallucinations.

Researchers improve LLM reasoning by using Knowledge Graphs through programming language representations.

ReXTrust ensures accuracy in AI-generated radiology reports, enhancing patient safety.

A look into how Large Language Models mimic human thinking.

Learn how DePaC helps AI provide accurate answers and reduce errors.

A new framework allows AI to learn independently from images.

RAG improves language models but faces challenges from misinformation attacks.

Researchers tackle hallucinations in language models to ensure accurate responses.