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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.CV2026
What-If World: A Causal Benchmark for General World Models in Embodied Scenarios
Kunlin Cai, Rui Song, Jinghuai Zhang +7
Video generation models are increasingly used as world simulators for tasks like driving and robotic manipulation. What matters in these settings is not whether a single video look…