Prompt Editor: A Taxonomy-driven System for Guided LLM Prompt Development in Enterprise Settings
Summary: Taxonomy-driven Prompt Editor learns segment types from an organization prompt corpus, enabling automatic segmentation and guided refinement for enterprise LLM prompts. Human-in-the-loop feedback and corpus-based init improve LLM prompts for data extraction. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jeffery Cao
- 2. Lampros Flokas
- 3. Yujian Xu
- 4. Eugene Wu
- 5. Xu Chu
- 6. Cong Yu
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| 3,508 | spade: Synthesizing Data Quality Assertions for Large Language Model Pipelines | 2024 | VLDB | 7.0271496e-05 |
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