OCR document parsing metrics create a fundamental problem: they punish generative models for being "different," even when they're actually right. A model can extract every piece of information perfectly, but if it formats the output slightly differently than expected, it gets…
OCR-era benchmarks weren’t built for generative document parsing:
❌ Assume a single “correct” output, penalizing valid alternatives
❌ Miss subtle hallucinations that break RAG
❌ Overlook production reliability and penalize semantically rich outputs
It’s time to rethink…
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