layout-analysis

papero-pdf-text-extractor 是一个轻量级 PDF 结构解析工具，无需 ML 模型即可在 CPU 上提取阅读顺序、表格、公式和边界框，支持导出 Markdown、JSON、Word 和 Excel，适用于 RAG、搜索和 LLM 场景。

HPD-Parsing introduces a hierarchical parallel decoding paradigm for VLM-based document parsing, replacing full-page autoregressive generation to achieve 4,752 tokens per second throughput (2.62x faster than prior models) while maintaining competitive accuracy.

MM-BizRAG is a multimodal retrieval-augmented generation system for enterprise Q&A that uses document structure-aware splitting and layout-aware parsing to outperform vision-centric baselines by up to 32% on heterogeneous enterprise documents. The paper also introduces FastRAGEval, a cost-efficient LLM-based evaluation metric with stronger human alignment than RAGChecker.

MinerU2.5 is a 1.2B-parameter vision-language model that achieves state-of-the-art document parsing accuracy with high computational efficiency using a coarse-to-fine parsing strategy.