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Xu et al.: LayoutLM joint text-layout document pretraining

Contribution grade

Document image representation learning · Human-designed research method or resource

Reference score120,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Combined text representations with two-dimensional document layout and visual information in a pretrained model for scanned-document understanding.

Scientific scope

Combined text representations with two-dimensional document layout and visual information in a pretrained model for scanned-document understanding. Year denotes December 2019 preprint; conference publication followed in 2020. Builds on language/vision pretraining; no unqualified first-ever claim or guarantee of error-free document extraction is imported.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Year denotes December 2019 preprint; conference publication followed in 2020. Builds on language/vision pretraining; no unqualified first-ever claim or guarantee of error-free document extraction is imported.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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