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FORGE:Fine-grained Multimodal Evaluation for Manufacturing Scenarios

📝 Summary:
FORGE introduces a multimodal manufacturing dataset, revealing that MLLM performance is limited by domain-specific knowledge, not visual grounding. Fine-tuning on FORGEs annotations significantly improves accuracy, offering a path for domain-adapted MLLMs.

🔹 Publication Date: Published on Apr 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.07413
• PDF: https://arxiv.org/pdf/2604.07413
• Project Page: https://ai4manufacturing.github.io/forge-web/
• Github: https://github.com/AI4Manufacturing/FORGE

Datasets citing this paper:
https://huggingface.co/datasets/AI4Manufacturing/forge

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For more data science resources:
https://xn--r1a.website/DataScienceT

#FORGE #MLLM #ManufacturingAI #MultimodalAI #DomainAdaptation