Author

M. Kimhi

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#artificial intelligence Mar 2026

Look Where It Matters: High-Resolution Crops Retrieval for Efficient VLMs

This work presents AwaRes, a spatial-on-demand framework that resolves this accuracy-efficiency trade-off by operating on a low-resolution global view and using tool-calling to retrieve only high-resolution segments needed for a given query.

Nimrod Shabtay, M. Kimhi, Artem Spector et al. · arXiv.org · 2 citations

Jul 2026

CXR-Retrieve: Compositional Text-to-Image Retrieval in Chest Radiography

The results show that reliable chest X-ray retrieval requires training objectives that model not only which findings are mentioned, but also how they are clinically asserted, as well as a label-aware contrastive fine-tuning objective for clinical retrieval.

Tom Erez, M. Kimhi, Chaim Baskin et al. · arXiv.org · 0 citations