GroundingME: Exposing the Visual Grounding Gap in MLLMs through Multi-Dimensional Evaluation

This article introduces a research paper that focuses on evaluating the visual grounding capabilities of Multi-modal Large Language Models (MLLMs). The paper likely proposes a new evaluation method, GroundingME, to identify weaknesses in how these models connect language with visual information. The multi-dimensional aspect suggests a comprehensive assessment across various aspects of visual grounding. The source, ArXiv, indicates this is a pre-print or research paper.

• •Focuses on evaluating visual grounding in MLLMs.
• •Proposes a new evaluation method called GroundingME.
• •Employs a multi-dimensional approach to assessment.
• •Published on ArXiv, indicating a research paper.