In the news
ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- ExtractBench, a benchmark for evaluating schema-guided document extraction, was released with 4,869 pages across 370 enterprise documents spanning 8 business domains.
- Why it matters
- Engineers building document processing systems need this to compare extraction accuracy, completeness, grounding quality, and cost across different AI agents and models.
- Watch out
- Vision language models handle short documents well but truncate long record lists; coding agents cost significantly more despite higher accuracy on length-heavy tasks.
- agent
- edge
- eval
- benchmark
The patterns behind this
- Process Reward Models & Verifier-Guided Search
- Agentic Context Engineering (Evolving Playbook)
- Eval-Driven Development (Agent CI)
Each one covers how the technique works, when it earns its cost, and where it breaks.
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