Abstract. Text-to-SQL is the task that aims at translating natural language questions into SQL queries. Existing methods directly align the natural language ...
Dec 6, 2023 · To address the above challenges, we propose a retrieval- argument framework, namely ReFSQL. It con- tains two parts, structure-enhanced ...
Dec 1, 2023 · This work proposed a framework called ReFSQL for the task of Text-to-SQL semantic parsing. This framework contains two parts, structure-enhanced ...
Most augmentation techniques target image or video data. This study is the first work to target text augmentation for Arabic language. Using this framework, we ...
A comprehensive review of NL2SQL techniques powered by LLMs, covering its entire lifecycle from the following four aspects: model, data, evaluation, ...
Jul 11, 2023 · In this paper, we propose a retrieval-augmented prompting method for a LLM-based Text-to-SQL framework, involving sample-aware prompting and a dynamic revision ...
Abstract. Large language models (LLMs) with in-context learning have significantly improved the performance of text-to-SQL task.
Missing: ReFSQL: Augmentation
ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation · pdf icon · Kun Zhang, XieXiong Lin, Yuanzhuo Wang, Xin Zhang, Fei Sun, Cen Jianhe ...
May 9, 2024 · The Pinterest Engineering Team shared how they internally implemented a Text-to-SQL solution to enable data users to retrieve data without writing SQL.
hymie122/RAG-Survey: Collecting awesome papers of RAG ... - GitHub
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ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation · Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design ...