Papers with self-correction methods

1 papers
SHARE: An SLM-based Hierarchical Action CorREction Assistant for Text-to-SQL (2025.acl-long)

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Challenge: Existing approaches to self-correct text-to-SQL fail to demonstrate underlying reasoning path . authors propose **SHARE**, a self-revolution assistant for text-based error correction .
Approach: They propose a "SHARE" assistant that enables LLMs to perform more precise error localization and efficient correction.
Outcome: The proposed assistant performs more precise error localization and efficient correction for monolithic SQL queries.

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