AINewsnow

Errors as Data: How RSI Helps OXR Achieve SOTA Accuracy and Speed in Document Parsing

Summary What if every document a model gets wrong told you what to train on next? That's the loop behind OXR, a 1.3B model that ranks #1 on three document parsing benchmarks. Start with what usually happens when a model misreads a document. Someone corrects that one result, ships it, and moves on.…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-10-29 16:30 · DEV Community — Machine Learning
    Errors as Data: How RSI Helps OXR Achieve SOTA Accuracy and Speed in Document Parsing

More stories

  1. Welcome Le Chonk: Mistral Large 4 on Hugging Face — Hugging Face Blog
  2. 8 examples of Gemini 4 Argon in action — Google Gemini Blog
  3. How we detect frontier model misalignment — OpenAI News
  4. Google’s AI Mode won’t say Biden won the 2020 election in the U.S. But in other countries, it’s a different story — Fast Company AI
  5. How Anthropic ships the #1 LLM in the World safely: Separating the Brain from the Hands — Latent Space
  6. Voice AI in vogue: Nvidia releases new open transcription model — TechCrunch AI
  7. The Future Is for Everyone: Meta and CNIB Partner to Support Canadians Who Are Blind, Deafblind or Have Low Vision — Meta Newsroom
  8. An updated Model Spec for more capable and beneficial AI — OpenAI News

Get the daily brief of stories like this at 6:30 every morning →