LlamaIndex introduces ParseBench-2 document parsing benchmark and OCRia-1.5 models
Overview
LlamaIndex introduces ParseBench-2, a document parsing benchmark with more than 4,300 pages, double the size of its first version, and a new forms dimension.
The benchmark scores parsing errors across more than 330 error types using severity-tuned metrics. LlamaIndex says these metrics track human judgment better than deterministic or LLM-as-a-judge benchmarks.
The company also releases OCRia-1.5, a new family of document parsing models that powers all LlamaParse modes.
Written by AI from the articles below · updated Nov 12, 12:11 PM ET
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Jerry Liu@jerryjliu0XLlamaIndex introduces ParseBench-2 document parsing benchmark and OCRia-1.5 modelsAILlamaIndex introduces ParseBench-2, a document parsing benchmark with 4.3k+ pages, double the first version, and a new forms dimension. It scores parsing errors across 330+ error types with severity-tuned metrics, which the company says track human judgment better than deterministic or LLM-as-a-judge benchmarks. LlamaIndex also releases OCRia-1.5, a new family of document parsing models that powers all LlamaParse modes.

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