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external benchmark
Every model the catalog carries a published DocVQA value for, ranked by that value.
DocVQA asks questions about a single document image. This page shows four historical Anthropic reports on the test split, with ANLS, zero-shot setup, report dates, and source cohorts kept visible.
The benchmark is defined by DocVQA: A Dataset for VQA on Document Images, but the catalog carries no value for it yet. An absent value is shown as absent here rather than as a zero.
What the benchmark measures and how its value is published, from the source’s own record.
DocVQA is an external benchmark published by DocVQA: A Dataset for VQA on Document Images. DocVQA asks questions about a single document image. This page shows four historical Anthropic reports on the test split, with ANLS, zero-shot setup, report dates, and source cohorts kept visible. Its evaluation set is described by the source as questions about single document images; provider run counts undisclosed.
Each model's result is published by DocVQA: A Dataset for VQA on Document Images as text answers drawn from document images. ModelScale prints that value to 1 decimal place, exactly as published, and never converts or rescales it. This page ranks the 0 models that carry a published value, highest value first; a model the source never scored is left out rather than ranked at zero. The source does not state whether a higher value is the better result, so neither does this page.