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OXR 1.3B document parser ranks first on three OCR benchmarks, per Rohan Paul

1 article1 sourcesince Oct 20Last article 1h ago ·

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Rohan Paul, in an X post, says OXR, a 1.3B open-source document parser, ranks first on olmOCR-Bench, OmniDocBench and DocParsingBench.

The post says OXR was trained with recursive self-improvement (RSI) in post-training: a VLM evaluates its outputs, disagreements between rollouts flag uncertainty, and a separate clustering model groups the causes so targeted data can be generated for the next round.

The post also says OXR runs at 3.05 times the throughput of GLM-OCR on a single RTX PRO 6000, which it describes as the fastest open-source result in its speed comparison. These are the author's claims; the post does not link to independent evaluation results.

Written by AI from the articles below · updated Oct 20, 3:47 PM ET

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Oct 20
  1. Rohan PaulX
    OXR, a 1.3B document parser, tops three OCR benchmarks at high speed

    AIOXR is a 1.3B open-source document parser that ranks first on olmOCR-Bench, OmniDocBench and DocParsingBench. Its post-training loop uses a VLM to evaluate outputs, flags rollout disagreements as uncertainty, and clusters the causes to generate targeted data for the next round. The post says it runs at 3.05× GLM-OCR's throughput on a single RTX PRO 6000, the fastest open-source result in its speed comparison.

    Image from @rohanpaul_ai's post

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