New AI Framework V-Reflection Reduces Hallucinations in Multimodal AI Models

Researchers propose V-Reflection, a framework that enables multimodal language models to actively re-examine visual details during reasoning rather than treating images as static input. The technique uses a two-stage training approach to help AI systems ground reasoning in task-critical visual evidence, improving performance on fine-grained perception tasks while maintaining inference efficiency.