✨Downscaling Intelligence: Exploring Perception and Reasoning Bottlenecks in Small Multimodal Models
📝 Summary:
Downscaling multimodal models disproportionately harms visual capabilities, including perception, more than LLM abilities. This paper introduces visual extraction tuning combined with step-by-step reasoning to improve smaller models efficiency and performance.
🔹 Publication Date: Published on Nov 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.17487
• PDF: https://arxiv.org/pdf/2511.17487
• Project Page: https://web.stanford.edu/~markendo/projects/downscaling_intelligence
• Github: https://github.com/markendo/downscaling_intelligence
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For more data science resources:
✓ https://t.me/DataScienceT
#MultimodalAI #SmallModels #ComputerVision #EfficientAI #AIResearch
📝 Summary:
Downscaling multimodal models disproportionately harms visual capabilities, including perception, more than LLM abilities. This paper introduces visual extraction tuning combined with step-by-step reasoning to improve smaller models efficiency and performance.
🔹 Publication Date: Published on Nov 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.17487
• PDF: https://arxiv.org/pdf/2511.17487
• Project Page: https://web.stanford.edu/~markendo/projects/downscaling_intelligence
• Github: https://github.com/markendo/downscaling_intelligence
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#MultimodalAI #SmallModels #ComputerVision #EfficientAI #AIResearch