Revisiting Prompt Engineering via Declarative Crowdsourcing
Summary: Treats LLMs as crowd workers and introduces declarative prompt engineering: applying declarative crowdsourcing concepts—multiple prompting strategies, consistency checks, and hybrid LLM/non‑LLM pipelines—to make prompt design systematic and cost-aware. Validated on sorting, entity resolution, and imputation. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Aditya G. Parameswaran
- 2. Shreya Shankar
- 3. Parth Asawa
- 4. Naman Jain
- 5. Yujie Wang
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,839 | DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing | 2025 | VLDB | 0.00010351287 |
| 2,013 | Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing | 2025 | CIDR | 9.7986166e-05 |
| 3,513 | spade: Synthesizing Data Quality Assertions for Large Language Model Pipelines | 2024 | VLDB | 7.0203909e-05 |
| 4,281 | GenEdit: Compounding Operators and Continuous Improvement to Tackle Text-to-SQL in the Enterprise | 2025 | CIDR | 6.2824978e-05 |
| 4,529 | Hybrid Querying Over Relational Databases and Large Language Models | 2025 | CIDR | 6.1057096e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 94 | CrowdDB: Answering Queries with Crowdsourcing | 2011 | SIGMOD | 0.00051273089 |
| 246 | Crowdsourced Databases: Query Processing with People | 2011 | CIDR | 0.00030952631 |
| 265 | CrowdER: Crowdsourcing Entity Resolution | 2012 | VLDB | 0.00029904018 |
| 266 | Human-powered Sorts and Joins | 2012 | VLDB | 0.00029884758 |
| 318 | Evaluation of entity resolution approaches on real-world match problems | 2010 | VLDB | 0.00027850417 |
| 516 | Can Foundation Models Wrangle Your Data? | 2023 | VLDB | 0.00021194444 |
| 854 | So Who Won? Dynamic Max Discovery with the Crowd | 2012 | SIGMOD | 0.00015879917 |
| 863 | Leveraging Transitive Relations for Crowdsourced Joins | 2013 | SIGMOD | 0.00015793243 |
| 1,154 | CrowdScreen: Algorithms for Filtering Data with Humans | 2012 | SIGMOD | 0.00013616867 |
| 2,255 | Counting with the Crowd | 2013 | VLDB | 9.1846281e-05 |
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