QUEST: Query Optimization in Unstructured Document Analysis
Summary: QUEST: LLM-aware query optimizer for unstructured documents using index + evidence-augmented retrieval and per-document (instance-optimized) plans to minimize costly extraction invocations. Adds LLM-cost-aware operator ordering and join→filter execution, yielding 30%–6× cost savings and 10%–27% F1 gains. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Zhaoze Sun
- 2. Chengliang Chai
- 3. Qiyan Deng
- 4. Kaisen Jin
- 5. Xinyu Guo
- 6. Han Han
- 7. Ye Yuan
- 8. Guoren Wang
- 9. Lei Cao
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