arxiv
PublishedJune 3, 2026 at 4:00 AM
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GLINT: Sparsely Gated Vision-Language Alignment for Fine-Grained Radiology Representations
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arXiv:2606.03180v1 Announce Type: cross Abstract: Vision-language models (VLMs) for radiology have emerged as a scalable paradigm by leveraging image-report pairs naturally produced in clinical workflows. However, this pairing reveals a mismatch in scale: each finding occupies only a small region of
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