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FrontierThe story, in brief

Introducing ConTextual: How well can your Multimodal model jointly reason over text and image in text-rich scenes?

A new benchmark just exposed a blind spot in every major multimodal model — including GPT-4V and Claude.

Reporting by Hugging Face Blog 1 min brief
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The KeyNews take

Why it matters

ConTextual is a new academic benchmark that measures how well multimodal models reason over text and images in real-world, text-rich scenes. This matters because it reveals capability gaps that standard benchmarks miss, forcing model builders to optimize for a new dimension of performance.

The key facts

5 to know

  1. ConTextual benchmark measures joint text-image reasoning in text-rich scenes

  2. Published March 5, 2024 on Hugging Face

  3. Tests multimodal models including GPT-4V and Claude

  4. Addresses gap in existing multimodal evaluation standards

  5. New capability dimension for model comparison and ranking

Go to the source

Hugging Face Bloghuggingface.co

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