Results 111 to 120 of about 8,163 (222)
BASE-SQL: A powerful open source Text-To-SQL baseline approach
The conversion of natural language into SQL language for querying databases (Text-to-SQL) has broad application prospects and has attracted widespread attention. At present, the mainstream Text-to-SQL methods are mainly divided into in-context learning (ICL) based methods and supervised fine-tuning (SFT) based methods.
Sheng, Lei, Xu, Shuai-Shuai, Xie, Wei
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DETEXA: declarative extensible text exploration and analysis through SQL [PDF]
, 2023 Yannis Foufoulas +4 more
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On the Vulnerabilities of Text-to-SQL Models
2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE), 2023 Peng, X. +3 more
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RB-SQL: A Retrieval-based LLM Framework for Text-to-SQL
Large language models (LLMs) with in-context learning have significantly improved the performance of text-to-SQL task. Previous works generally focus on using exclusive SQL generation prompt to improve the LLMs' reasoning ability. However, they are mostly hard to handle large databases with numerous tables and columns, and usually ignore the ...
Wu, Zhenhe +9 more
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Self-correcting complex semantic analysis method based on pre-training mechanism
Tongxin xuebao, 2019 In the process of knowledge service,in order to meet the fragmentation management needs of intellectualization,knowledge ability,refinement and reorganization content resources.Through deep analysis and mining of semantic hidden knowledge,technology ...
Qing LI, Jiang ZHONG, Lili LI, Qi LI
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STRATEGIC CONSIDERATIONS FOR DATABASE SYSTEMS: POSTGRESQL VS. MICROSOFT SQL SERVER
Автоматизация технологических и бизнес-процессовIn this paper, we conducted a comprehensive study of two leading relational database management systems: Microsoft SQL Server and PostgreSQL, representing commercial and open-source software development models respectively.
R. О. Popov, V. V. Gerasimov
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Domain-Specific Few-Shot Table Prompt Question Answering via Contrastive Exemplar Selection
AlgorithmsAs a crucial task in natural language processing, table question answering has garnered significant attention from both the academic and industrial communities.
Tianjin Mo +4 more
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Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types [PDF]
Ziming Guo +5 more
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SPSQL: Step-by-step Parsing Based Framework for Text-to-SQL Generation [PDF]
, 2023 Ran Shen +5 more
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EPI-SQL: Enhancing Text-to-SQL Translation with Error-Prevention Instructions
The conversion of natural language queries into SQL queries, known as Text-to-SQL, is a critical yet challenging task. This paper introduces EPI-SQL, a novel methodological framework leveraging Large Language Models (LLMs) to enhance the performance of Text-to-SQL tasks. EPI-SQL operates through a four-step process.
Liu, Xiping, Tan, Zhao
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