Skeleton-and-Strategy Prompting: Training-Free Negation Understanding for Vision-Language Models
SSP first abstracts the underlying question structure into a skeleton, retrieves a small set of same-skeleton questions from a lightweight question pool, then prompts the VLM to analyze their shared negation pattern and synthesize a single-sentence answering strategy.
Yu-Liang Cai, Mohammad Rostami, Jesse Thomason
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