PaDoc: Layout-Grounded Parallel Decoding for Document Parsing

PaDoc is an open-source implementation of tree-supervised training and fork-token decoding for document parsing. A single image-text model emits a compact main sequence and starts independent content branches at learned fork tokens. No draft model or additional prediction head is required.

For more details, refer to our github repo.