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MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL

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arxiv 2402.10666 v5 pith:OU7JFNNZ submitted 2024-02-16 cs.CL

classification cs.CL
keywords retrievalmulti-hopopen-domaintext-to-sqlquestionretrievedtablesinformation
verification ladder T0 review T1 audit T2 compute T3 formal

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The open-domain text-to-SQL task aims to retrieve question-relevant tables from massive databases and generate SQL. However, the performance of current methods is constrained by single-hop retrieval, and existing multi-hop retrieval of open-domain question answering is not directly applicable due to the tendency to retrieve tables similar to the retrieved ones but irrelevant to the question. Since the questions in text-to-SQL usually contain all required information, while previous multi-hop retrieval supplements the questions with retrieved documents. Therefore, we propose the multi-hop table retrieval with removal (MURRE), which removes previously retrieved information from the question to guide the retriever towards unretrieved relevant tables. Our experiments on two open-domain text-to-SQL datasets demonstrate an average improvement of 5.7% over the previous state-of-the-art results.

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Cited by 1 Pith paper

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  1. CRED-SQL: Enhancing Real-world Large Scale Database Text-to-SQL Parsing through Cluster Retrieval and Execution Description

    cs.CL 2025-08 conditional novelty 6.0 of 10

    CRED-SQL substantially improves Text-to-SQL on large-schema benchmarks by down-weighting common schema columns during retrieval and generating SQL through a natural language execution description.

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