Papers by Changyu Ren

1 papers
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL (2025.coling-main)

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Challenge: Recent LLM-based Text-to-SQL methods suffer from performance degradation on “huge” databases and complex user questions that require multi-step reasoning.
Approach: They propose a framework that integrates a decomposer agent and auxiliary agents to generate SQL queries from natural language text.
Outcome: The proposed framework achieves comparable execution accuracy on SQL-Llama tasks compared to the baseline model.

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