GroundingME: Exposing the Visual Grounding Gap in MLLMs through Multi-Dimensional Evaluation
Published:Dec 19, 2025 12:06
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
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