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cloud.google.com·7h ago
AI Research
arXiv CS.AI·Aug 7·5 min read
PaDoc: Layout-Grounded Parallel Decoding for Document Parsing
TL;DR
PaDoc introduces a novel layout-grounded approach for document parsing that allows for parallel decoding of page layouts and content, significantly improving efficiency. It achieves top-tier performance metrics, including a layout F1 score of 91.1 and a 67.4-118% increase in valid-page throughput compared to traditional methods.
✦ Why It Matters
Consider implementing PaDoc for your document parsing tasks to improve throughput and reduce latency.
Key Takeaways
- Explore PaDoc for efficient document parsing in your projects.
- Utilize layout-grounded approaches to enhance parsing speed.
- Leverage concurrent processing to reduce decoding time.
- Adopt the latest metrics to evaluate parser performance.
How It Works
PaDoc employs a layout-grounded approach that treats the predicted layout as a branching structure, allowing simultaneous processing of layout and regional content. This is facilitated by a prefix-conditioned factorization that minimizes decoding depth, enabling faster and more efficient parsing.