MMVP

Researchers propose ViPSy, a framework for constructing preference data that reduces hallucinations in Vision-Language Models (VLMs) by leveraging visual cues from semantically aligned image variants.…

Researchers introduced Language-Instructed Vision Embeddings (LIVE), a method that uses language to dynamically guide vision encoders, eliminating the need for task-specific retraining. LIVE reduced v…