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Ryan Marcus

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SEFRQO-Plus: A Self-Evolving Query Optimizer via Large Language Models and Retrieval-Augmented Generation

This paper designs a feedback-oriented vector database with query structure-aware embed-dings to support effective similarity search, and incorporates multi-layered histories as references to enrich the feedback, and enhances the prompt optimization work-flow by utilizing multi-dimensional historical feedback to drive continuous self-evolution.

Han-Wen Liu, Qihan Zhang, Ryan Marcus et al. · 0 citations

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