GridVQA-X: A Framework for Evaluating Multimodal Explainability Methods

GridVQA-X: A Framework for Evaluating Multimodal Explainability Methods

GridVQA-X introduces a diagnostic framework to evaluate cross-modal explainability by distinguishing genuine spatial-relational reasoning from cross-modal shortcuts in multimodal m…

Hugging Face · Daily Papers ·Sujay Belsare, Sudarshan Nikhil · ·▲ 3 upvotes

Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.

Autores: Sujay Belsare, Sudarshan Nikhil, Sushant Kumar, Ponnurangam Kumaraguru, Chirag Agarwal

  • 3 upvotes da comunidade
  • Temas: Vision-Language Models, Multimodal Explainable AI, cross-modal reasoning, cross-modal shortcuts, diagnostic framework, spatial-relational reasoning

Resumo

Resumo original (em inglês), extraído do paper:

GridVQA-X introduces a diagnostic framework to evaluate cross-modal explainability by distinguishing genuine spatial-relational reasoning from cross-modal shortcuts in multimodal models.

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