Fundus-R1: Training a Fundus-Reading MLLM on Public Data

Fundus-R1 is a reasoning-enhanced multimodal large language model trained only on public fundus images with image-level labels. It overcomes data limitations by using a RAG method to create knowledge-aware reasoning traces, linking visual findings to ophthalmic knowledge. This approach improves performance on fundus reading benchmarks by providing structured diagnostic guidance.

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