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Qianfan-OCR: A Unified End-to-End Model for Document Intelligence research paper by Baidu, 2026

Baidu · Mar 11, 2026 · Retrieval and data · 20 citations · 155 upvotes · unverified

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What it shows

Qianfan-OCR is a 4B-parameter vision-language model that unifies document parsing, layout analysis, and understanding while maintaining strong performance across multiple OCR benchmarks through its Layout-as-Thought mechanism.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Daxiang Dong, Mingming Zheng, Dong Xu and 17 more
arXiv
2603.13398 · PDF
Venue
arXiv.org
Citations
20, 2 influential · Semantic Scholar
Upvotes
155 · Hugging Face
Code
github.com/baidubce/Qianfan-VL
Lab
Baidu · on Companies · on Quarterly

Changes

What changed
Influential citationsfirst count: 2Sep 25, 2026
Citationsfirst count: 20Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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