Document Parsing Using Large Language Models — With Code

The web content discusses the transition from using regular expressions to employing large language models (LLMs) for parsing complex documents, exemplified by research papers, highlighting the flexibility, context understanding, and scalability of LLMs over traditional methods. Abstract The article "Document Parsing Using Large Language Models — With Code" delves into the limitations of regular expressions (Regex) for handling the complexity and variability of real-world documents, particularly research papers. It motivates the adoption of large language models (LLMs) for their superior ability to understand and adapt to a wide range of document structures and content types. The author outlines a general workflow for processing research papers using LLMs, which includes input, processing, and output components. The workflow leverages LLMs to extract metadata from PDF documents, formatting the output in JSON for further analysis. The article emphasizes the flexibility, context understa

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• Nguyễn Tuấn Hiệp