Papers With Code
metadata only
WeVisDoc: From Coverage to Capability for Robust End-to-End Document Parsing
Document parsing converts document images into structured content and requires reliable performance across diverse layouts and acquisition conditions. Yet training corpora are biased toward common document types and clean digital pages, while expanding coverage alone does not specify how to address
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- WeVisDoc: From Coverage to Capability for Robust End-to-End Document Parsing#1034242
- Diffusion Drafts, AR Verifies: Accelerating Document OCR with Self-Speculative Decoding#1062525
- DEdit: Iterative Draft Editing for Speculative Decoding#1143111
- Data Scout: Targeted Web Crawling for Domain-Specific Pretraining Corpora#972810
- Recasting the Destroy Step of Large Neighborhood Search as Dense Segmentation#1037033
Record · ID 1001720
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive