Mark Hamazaspyan – Visual Document Retrieval: Enhancing Accuracy with Text & Visual Embeddings

Mark Hamazaspyan, ML Team Lead, presents a talk on โ€œVisual Document Retrieval: Enhancing Accuracy with Text & Visual Embeddings.โ€

Visual Document Retrieval is a cutting-edge approach that leverages both text and visual embeddings to improve search and retrieval accuracy. Mark explores real-world ColPaLi-style models, discussing their role in multimodal learning and document AI.

This session dives into:
– Leveraging VLMs for multimodal document retrieval
– Insights from research & experiments in retrieval accuracy
– Challenges & solutions in OCR and document AI
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