Results 11 to 20 of about 82,951 (280)
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation [PDF]
Proceedings of the VLDB Endowment, 2023 Large language models (LLMs) have emerged as a new paradigm for Text-to-SQL task. However, the absence of a systematical benchmark inhibits the development of designing effective, efficient and economic LLM-based Text-to-SQL solutions.
Dawei Gao +6 more
semanticscholar +1 more source
DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction [PDF]
Neural Information Processing Systems, 2023 We study the problem of decomposing a complex text-to-sql task into smaller sub-tasks and how such a decomposition can significantly improve the performance of Large Language Models (LLMs) in the reasoning process.
M. Pourreza, Davood Rafiei
semanticscholar +1 more source
RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL [PDF]
AAAI Conference on Artificial Intelligence, 2023 One of the recent best attempts at Text-to-SQL is the pre-trained language model. Due to the structural property of the SQL queries, the seq2seq model takes the responsibility of parsing both the schema items (i.e., tables and columns) and the skeleton ...
Haoyang Li +3 more
semanticscholar +1 more source
C3: Zero-shot Text-to-SQL with ChatGPT [PDF]
arXiv.org, 2023 This paper proposes a ChatGPT-based zero-shot Text-to-SQL method, dubbed C3, which achieves 82.3\% in terms of execution accuracy on the holdout test set of Spider and becomes the state-of-the-art zero-shot Text-to-SQL method on the Spider Challenge.
Xuemei Dong +7 more
semanticscholar +1 more source
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability [PDF]
arXiv.org, 2023 This paper presents the first comprehensive analysis of ChatGPT's Text-to-SQL ability. Given the recent emergence of large-scale conversational language model ChatGPT and its impressive capabilities in both conversational abilities and code generation ...
Aiwei Liu +3 more
semanticscholar +1 more source
Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing [PDF]
AAAI Conference on Artificial Intelligence, 2023 The task of text-to-SQL parsing, which aims at converting natural language questions into executable SQL queries, has garnered increasing attention in recent years. One of the major challenges in text-to-SQL parsing is domain generalization, i.e., how to
Jinyang Li +9 more
semanticscholar +1 more source
Exploring Chain-of-Thought Style Prompting for Text-to-SQL [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 In-context learning with large language models (LLMs) has recently caught increasing attention due to its superior few-shot performance on various tasks. However, its performance on text-to-SQL parsing still has much room for improvement.
Chang-You Tai +4 more
semanticscholar +1 more source
From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application? [PDF]
arXiv.org, 2023 Large Language Models (LLMs) have found widespread applications in various domains, including web applications, where they facilitate human interaction via chatbots with natural language interfaces. Internally, aided by an LLM-integration middleware such
Rodrigo Pedro +3 more
semanticscholar +1 more source
A Paged Prefetching Model for Join Operations of Cross-Databases
Xibei Gongye Daxue Xuebao, 2020 As the applications of big data are increasing, the NoSQL (Not only Structured Query Language) database management systems have been developed rapidly.
doaj +1 more source
Designing a database for the game «Minecraft»
Технічна інженерія, 2023 The purpose of the paper is to describe reverse engineering of the popular game Minecraft in terms of the interaction of game data and its storage for further use, and on the basis of the obtained data to design a database and a text simulation of the ...
I.І. , O.V. , A.A. , V.A.
doaj +1 more source