Fine-tuning Vision-Language Models in Medical Imaging: A Telescopic Approach

This ArXiv article likely presents a novel method for fine-tuning vision-language models within the specialized domain of medical imaging, which can potentially improve model performance and efficiency. The "telescopic" approach suggests an innovative architectural design for adapting pre-trained models to the nuances of medical data.

• •Explores the use of telescopic adapters for efficient fine-tuning.
• •Focuses on vision-language models in the context of medical imaging.
• •Potentially improves model performance and reduces computational cost.