I Made LLMs Read a 500-Page Specification With 100% Accuracy — Without Fine-Tuning

1. 1Build a compiler that produces structured indices encoding a domain expert's mental map
2. 2Use the compiler to generate indices for a large normative document
3. 3Test the LLMs with the generated indices to achieve 100% accuracy
4. 4Evaluate the results across different LLM models, such as Claude, GPT-4o, and Gemini

This benefits AI engineers and researchers working with LLMs, as it improves the models' ability to process large documents and increases their accuracy

💡 LLMs' failure on large documents is due to navigation issues, not reasoning capabilities

💡 LLMs achieve 100% accuracy on large docs without fine-tuning using a custom compiler!