Critically, Enterprise Agents Don’t Understand Highlighting
Their study tested 6,462 policy documents, finding nearly a third contained red text or highlighting, with around one in ten marking important requirements. AI agents performed better when these cues were preserved, achieving an F1 score of 0.690 versus 0.075 for plain-text conversion.
Key points
- 6,462 policy documents tested, with 332 marked requirements and 4,192 unmarked
- AI agents scored F1 of 0.690 with preserved highlighting versus 0.075 for plain text
- Authors’ system outperformed Docling and docx2python in extracting formatted data
The authors argue that bold, italics, or monospace formatting are ineffective due to overuse, while highlighting and color remain meaningful signals. Their proposed solution—preserving formatting and adding labels—requires roughly double the token budget but avoids costly AI processing. The study also benchmarked against tools like Docling and docx2python, showing significant accuracy gains in extracting structured data from Office documents.
Critically, Enterprise Agents Don’t Understand Highlighting
Unite.AI · 30 October 2026
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