Artificial Intelligence #artificial intelligence#multimodal systems
New Framework Reduces Visual Hallucinations in Multimodal AI Systems Without Retraining
A research paper on arXiv introduces a retrieval-augmented reliability-aware inference framework that reduces visual hallucinations in multimodal large language models. By using an external evidence database and reliability indicators, the system improves accepted prediction accuracy from 85.84% to 88.88% at 89.04% coverage, without retraining the model.
Jun 16, 2026 1 source