Munawar Hayat

Munawar Hayat, a researcher at Qualcomm AI Research specializing in multimodal generative AI, dives into the intricacies of Vision-Language Models (VLMs). He discusses the puzzling issue of object hallucination, revealing why these models often overlook visual elements in favor of language. Munawar also introduces attention-guided alignment techniques and a novel approach to generalized contrastive learning for efficient multi-modal retrieval. He shares insights on the Multi-Human Testbench designed to tackle identity leakage challenges in generative models, bringing clarity to this evolving field.