Results 241 to 250 of about 82,951 (280)

Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation

arXiv.org
Large Language Models (LLMs) have emerged as a powerful tool in advancing the Text-to-SQL task, significantly outperforming traditional methods. Nevertheless, as a nascent research field, there is still no consensus on the optimal prompt templates and ...
Bin Zhang, Yuxiao Ye, Guoqing Du, Xiaoru Hu, Zhishuai Li, Sun Yang, Chi Harold Liu, Rui Zhao, Ziyue Li, Hangyu Mao   +9 more
semanticscholar   +1 more source

Synthesizing Text-to-SQL Data from Weak and Strong LLMs

Annual Meeting of the Association for Computational Linguistics
The capability gap between open-source and closed-source large language models (LLMs) remains a challenge in text-to-SQL tasks. In this paper, we introduce a synthetic data approach that combines data produced by larger, more powerful models (strong ...
Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou   +5 more
semanticscholar   +1 more source

DTS-SQL: Decomposed Text-to-SQL with Small Large Language Models

Conference on Empirical Methods in Natural Language Processing
Leading models for the text-to-SQL task heavily rely on proprietary Large Language Models (LLMs), posing concerns over data privacy. Closing the performance gap between small open-source models and large proprietary models is crucial to mitigate this ...
Mohammadreza Pourreza, Davood Rafiei
semanticscholar   +1 more source

Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation

Annual Meeting of the Association for Computational Linguistics
Large Language Models (LLMs) driven by In-Context Learning (ICL) have significantly improved the performance of text-to-SQL. Previous methods generally employ a two-stage reasoning framework, namely 1) schema linking and 2) logical synthesis, making the ...
Ge Qu, Jinyang Li, Bowen Li, Bowen Qin, Nan Huo, Chenhao Ma, Reynold Cheng   +6 more
semanticscholar   +1 more source

Einführung in SQL

1994
In diesem Kapitel werden die Grundlagen der Datenbanksprache „SQL“ (Structured Query Language) vermittelt.
openaire   +2 more sources

Overview of SQL

2014
The Structured Query Language (SQL) has become the universal language of choice for DBMS products. A study of this language is therefore imperative for the student of computer science or computer information systems. This and the next few chapters will help you acquire a working knowledge of the language, as implemented in the Oracle environment.
Shripad V. Godbole, Elvis C. Foster
openaire   +2 more sources

PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency

arXiv.org
Recent advancements in Text-to-SQL (Text2SQL) emphasize stimulating the large language models (LLM) on in-context learning, achieving significant results.
Zhishuai Li, Xiang Wang, Jingjing Zhao, Sun Yang, Guoqing Du, Xiaoru Hu, Bin Zhang, Yuxiao Ye, Ziyue Li, Rui Zhao, Hangyu Mao   +10 more
semanticscholar   +1 more source

Parallel SQL on Tandem's NonStop SQL

Digest of Papers. COMPCON Spring 89. Thirty-Fourth IEEE Computer Society International Conference: Intellectual Leverage, 2003
A comparison is made of a number of different strategies for the concurrent execution of multiple SQL (structured query language) statements on a completely nonsharing multiprocessor system. The author gives some preliminary results in the form of heuristics derived from measurements on a Tandem system.
openaire   +2 more sources

FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis

SIGMOD Conference Companion
Text-to-SQL, which provides zero-code interface for operating relational databases, has gained much attention in financial analysis; because financial professionals may not be well-skilled in SQL programming.
Chao Zhang, Yuren Mao, Yijiang Fan, Yu Mi, Yunjun Gao, Lu Chen, Dongfang Lou, Jinshu Lin   +7 more
semanticscholar   +1 more source

E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL

arXiv.org
Translating Natural Language Queries into Structured Query Language (Text-to-SQL or NLQ-to-SQL) is a critical task extensively studied by both the natural language processing and database communities, aimed at providing a natural language interface to ...
Hasan Alp Caferoglu, Özgür Ulusoy
semanticscholar   +1 more source