Researchers introduced RTSGameBench, a benchmark built on the real-time strategy game Beyond All Reason, to evaluate strategic reasoning in Vision-Language Models. The benchmark includes diverse match…
Researchers introduced GridVQA-X, a diagnostic framework to evaluate cross-modal explainability in Vision-Language Models. The framework uses synthetic data with ground-truth explanations to test whet…
Researchers have introduced Transcoders, a function-centric framework that decomposes vision-language models into interpretable computational pathways linking image patches to token generation. Applie…
Researchers have developed CoReVAD, a training-free video anomaly detection framework that uses a single frozen Vision-Language Model to generate both anomaly scores and temporal descriptions without …