27cc3576a6f149e95cf68afc3e25cd6c.zip Apr 2026

Reviewers from the research community have shared their direct impressions of the work:

It looks like there's no response available for this search. Try asking something else. 27cc3576a6f149e95cf68afc3e25cd6c.zip

Reviewers highlighted that the paper's design choices, specifically "feature sharing," were well-motivated and helped the model stay expressive despite the simplifications. Critical Perspectives Reviewers from the research community have shared their

This paper introduces a method called designed to improve how we tune large "black-box" models (like CLIP) when we don't have access to their internal code or gradients. Performance and Efficiency Critical Perspectives This paper introduces a method called

It addresses the high query requirements of existing methods by reducing problem dimensionality and using "intrinsic-dimensional gradient clipping."

The string corresponds to a specific research paper titled "ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models."

The primary consensus among reviewers is that ZIP significantly reduces the "query cost"—the number of times you have to ask the model for a result—while maintaining or improving accuracy.