Drama: Unifying Data Retrieval and Analysis for Open-Domain Analytic Queries
Summary: Drama: an end-to-end paradigm and multi-agent system (DramaBot) that unifies open‑domain data retrieval, structured transformation, and analytic reasoning to answer NL analytic queries. Evaluated on DramaBench (100 QA/verification tasks), DramaBot achieves 86.5% accuracy at $0.05, outperforming baselines up to 6.9× while costing <1/6. (summarized by gpt-5-mini on Feb 11 2026)
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Authors
- 1. Chuxuan Hu
- 2. Maxwell Yang
- 3. James Weiland
- 4. Yeji Lim
- 5. Suhas Palawala
- 6. Daniel Kang
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 369 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | 2024 | VLDB | 0.0002547515 |
| 1,963 | DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing | 2025 | VLDB | 9.929429e-05 |
| 3,359 | Text2SQL is Not Enough: Unifying AI and Databases with TAG | 2025 | CIDR | 7.1744146e-05 |
| 10,620 | LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data | 2025 | VLDB | 4.1945683e-05 |
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