论文研究 arXiv cs.CV Mon, 20 Jul 2026 正文 thin 4 words

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach

英文标题:Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach

arXiv:2607.15661v1 Announce Type: new Abstract: Large vision-language models (LVLMs) can be adapted to specialized medical imaging tasks via parameter-efficient fine-tuning approaches such as low-rank adaptation (LoRA), leading to a growing ecosystem of expert models tailored to specific imaging mo
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arXiv:2607.15661v1 Announce Type: new Abstract: Large vision-language models (LVLMs) can be adapted to specialized medical imaging tasks via parameter-efficient fine-tuning approaches such as low-rank adaptation (LoRA), leading to a growing ecosystem of expert models tailored to specific imaging mo

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