CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
CHASE-SQL is a novel framework that improves Text-to-SQL performance by using multiple LLM agents for diverse SQL candidate generation—employing divide-and-conquer, chain-of-thought reasoning, and instance-aware synthetic examples—and a fine-tuned selection agent to rank these candidates, achieving state-of-the-art accuracy on the BIRD benchmark.
Oct 2, 2024
