EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding.

arXiv:2609.32352v3 Announce Type: replace-cross Abstract: Vision-language models (VLMs) have shown increasing potential for medical image understanding, yet their capabilities in ophthalmic imaging remain insufficiently characterized. Existing ophthalmic datas