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Multimodal Dataset
Attribute Value Extraction
Large Language Models
MAVE
ImplicitAVE
ImplicitAVE: A Dataset for Multimodal Attribute Value Extraction

This study presents ImplicitAVE, a multimodal dataset focused on implicit attribute value extraction:

  • Extension and enrichment of MAVE dataset to include multimodality.
  • Detailed evaluation of MLLMs’ performance on the dataset.
  • Potential implications and applications in diverse industries.

The release of ImplicitAVE dataset and its comprehensive benchmark offers crucial resources for further research and development in the area of attribute value extraction, using large language models.

Personalized AI news from scientific papers.