Document extraction is an arbitrarily complex reasoning problem for both frontier models and humans. ✅ The schema encodes essentially hundre…

Document extraction is an arbitrarily complex reasoning problem for both frontier models and humans. ✅ The schema encodes essentially hundreds of interrelated reasoning tasks ✅ A PDF can be hundreds or even thousands of pages - it’s an open-world information environment for LLMs to explore (similar to why gdp.pdf is hard) ✅ Solving even a single task is a hard reasoning problem over this environment, where the right dependencies must be reasoned over ✅ The information can be scattered across extraordinarily complex dimensions, from sections, tables, charts, diagrams, handwriting, and more. Document work is a microcosm of knowledge work as a whole. We’re invested in developing the hardest benchmarks that reflect real-world professional work, challenge the capabilities of frontier models, and incentivize specialized model development for document work. We released ExtractBench Pro today. Check out the below example as an example of a reasoning task that requires finding the right constraints, then pulling information from tables. https://www.llamaindex.ai/blog/introducing-extractbench-pro ExtractBench Pro: http://extractbenchpro.ai Introducing ExtractBenchPro: the most challenging benchmark for real-world document extraction. We see a massive long tail of document complexity in terms of use cases brought on from our customers, that are completely unsolved from a price-performance standpoint. These include t…

Source: Jerry Liu (X) | 2026-10-15

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