Agentic data science with the Data Agent Kit
cloud.google.com·6h ago
AI Research
arXiv CS.AI·Aug 4·5 min read
XL-DocBench: Benchmarking Evidence-Grounded Extra-Long Document Understanding
TL;DR
XL-DocBench is a new benchmark designed for understanding extra-long documents, featuring 1,519 human-verified questions across six professional domains. It highlights the challenges current systems face in processing multi-page evidence and structured reasoning.
✦ Why It Matters
Evaluate your document processing systems against XL-DocBench to identify weaknesses in handling long documents.
Key Takeaways
- Assess your AI's performance on multi-page document tasks.
- Incorporate structured reasoning capabilities in your models.
- Utilize XL-DocBench for benchmarking long-document understanding.
- Focus on improving evidence retrieval from extensive texts.
How It Works
XL-DocBench employs a tree-guided synthesis pipeline to create questions from extensive documents, ensuring that each question is linked to specific evidence pages. This method allows for a comprehensive evaluation of AI systems' abilities to retrieve and reason over multi-page content.