27cc3576a6f149e95cf68afc3e25cd6c.zip [ORIGINAL →]

Evaluators noted superior accuracy across 13+ different tasks and strong performance in "few-shot" settings (learning from very little data).

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 27cc3576a6f149e95cf68afc3e25cd6c.zip

While the reviews were generally positive, experts noted a few areas for improvement: 27cc3576a6f149e95cf68afc3e25cd6c.zip

Because black-box prompt tuning is a niche field, some reviewers found it difficult to judge exactly how "new" the method was compared to the very latest unpublished research. Community Feedback 27cc3576a6f149e95cf68afc3e25cd6c.zip

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