Model Releases
One of the most important challenges in advancing enterprise AI is creating evaluation benchmarks that reflect their real data and workflows…
One of the most important challenges in advancing enterprise AI is creating evaluation benchmarks that reflect their real data and workflows - without using their actual data or workflows due to priva
One of the most important challenges in advancing enterprise AI is creating evaluation benchmarks that reflect their real data and workflows - without using their actual data or workflows due to privacy/security restrictions We see our customers upload a massive long tail of complex documents for extraction, which break even the most complex frontier models. In order to create a representative benchmark that adheres to this complexity, we invested heavily in a synthetic pipeline that can mine real document templates, but allow flexibility for variation of not only the data, but the template and rendering. Come check out ExtractBench Pro! https://www.llamaindex.ai/blog/introducing-extractbench-pro Website: http://extractbenchpro.ai Media 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…
Related
- ExtractBench is one of the most comprehensive benchmarks for real-world document extraction. ✅ It covers 4869 pages, across 67 document type…
- ParseBench is the most comprehensive OCR benchmark for real-world enterprise documents: financial filings, contracts, insurance documents, a…
- We're presenting ParseBench at CVPR 2026! ParseBench is the most comprehensive document understanding benchmark for VLMs. ✅ It contains 2k p…
- ParseBench is the first benchmark to include VLM chart understanding 📊📈📉 over enterprise documents. 🟠 Existing benchmarks (ChartQA, Char…
Source: Jerry Liu (X) | 2026-10-18