AI RESEARCH
Can LLM-Generated Text Empower Surgical Vision-Language Pre-training?
arXiv CS.CV
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ArXi:2604.18134v1 Announce Type: new Recent advancements in self-supervised learning have led to powerful surgical vision encoders capable of spatiotemporal understanding. However, extending these visual foundations to multi-modal reasoning tasks is severely bottlenecked by the prohibitive cost of expert textual annotations. To overcome this scalability limitation, we