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A single agentic framework can seamlessly tackle multiple intelligent document processing tasks, outperforming specialized models in the process.
Compact models can now adapt to changing environments without sacrificing performance, achieving a Live-Stream QA score that surpasses even the strongest general LLMs.
SAYRE's innovative approach to synthesizing KIE training data leads to substantial performance gains for on-device models, particularly in challenging extraction scenarios.
Despite impressive OCR performance on existing benchmarks, today's best LMMs still struggle with the messy realities of enterprise document processing.
