Results 181 to 190 of about 73,684 (223)

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

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

A Survey of Text-to-SQL in the Era of LLMs: Where Are We, and Where Are We Going?

IEEE Transactions on Knowledge and Data Engineering
Translating users’ natural language queries (NL) into SQL queries (i.e., Text-to-SQL, a.k.a. NL2SQL) can significantly reduce barriers to accessing relational databases and support various commercial applications.
Xinyu Liu, Shuyu Shen, Boyan Li, Peixian Ma, Runzhi Jiang, Yu-xin Zhang, Ju Fan, Guoliang Li, Nan Tang, Yuyu Luo   +9 more
semanticscholar   +1 more source

���������������� ������������������������ ����������������������������-�������������������� ������ ������������������������ sql ����������������

2007
This master thesis includes a detailed report on the different e-learning environemnets that do exist, o their basic characetristics and on their advantages and disvantages. The basic topic of the master thesis is the implementation of a module that cooperates with the open source e-learning environment moodle and contributes to the personalization of ...
openaire   +2 more sources

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

Annual Meeting of the Association for Computational Linguistics
Generating accurate SQL queries for user questions (text-to-SQL) has been a long-standing challenge since it requires a deep understanding of both the user's question and the corresponding database schema in order to retrieve the desired content ...
Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang   +5 more
semanticscholar   +1 more source

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm

Annual Meeting of the Association for Computational Linguistics
In-context learning of large-language models (LLMs) has achieved remarkable success in the field of natural language processing, while extensive case studies reveal that the single-step chain-of-thought prompting approach faces challenges such as ...
Yuanzhen Xie, Xinzhou Jin, Tao Xie, Mingxiong Lin, Liang Chen, Chenyun Yu, Lei Cheng, Chengxiang Zhuo, Bo Hu, Zang Li   +9 more
semanticscholar   +1 more source

RSL-SQL: Robust Schema Linking in Text-to-SQL Generation

arXiv.org
Text-to-SQL generation aims to translate natural language questions into SQL statements. In Text-to-SQL based on large language models, schema linking is a widely adopted strategy to streamline the input for LLMs by selecting only relevant schema ...
Zhenbiao Cao, Yuanlei Zheng, Zhihao Fan, Xiaojin Zhang, Wei Chen, Xiang Bai   +5 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

From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems

arXiv.org
LLMs when used with Retrieval Augmented Generation (RAG), are greatly improving the SOTA of translating natural language queries to structured and correct SQL.
Ali Mohammadjafari, A. Maida, R. Gottumukkala   +2 more
semanticscholar   +1 more source

???????????????????? ??????????????????????-???????????????? ???????????????? ?? ???????? ???????????? ?? SQL-??????????????

2014
The problems of transformation of natural language database queries to SQL queries are discussed in the article. Transformation methods and algorithms for constrained set of SQL pattern are proposed.
openaire   +3 more sources