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cs.CV2026
Skeleton-and-Strategy Prompting: Training-Free Negation Understanding for Vision-Language Models
Yuliang Cai, Mohammad Rostami, Jesse Thomason
Despite the strong performance of Vision-Language Models (VLMs) on a wide range of visual question answering (VQA) tasks, these models consistently struggle to understand negation…
cs.CV2025
TNG-CLIP:Training-Time Negation Data Generation for Negation Awareness of CLIP
Yuliang Cai, Jesse Thomason, Mohammad Rostami
Vision-language models (VLMs), such as CLIP, have demonstrated strong performance across a range of downstream tasks. However, CLIP is still limited in negation understanding: the…