Results 11 to 20 of about 284,169 (264)
Journal of Information and Telecommunication, 2020 Spatio-temporal data serves as a foundation for most location-based applications nowadays. To handle spatio-temporal data, an appropriate methodology needs to be properly followed, in which space and time dimensions of data must be taken into account ...
Kulsawasd Jitkajornwanich +3 more
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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
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SQL & NOSQL DATABASE COMPARISON BY CASE DESIGNING AFFILIATE SYSTEM REPORT
Радіоелектронні і комп'ютерні системи, 2020 Nowadays, due to the rapid development of social networks and the blogger culture, there is a tendency to use affiliate systems to promote their product.
Дмитро Тереник +1 more
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JSON Data and Relational Data Integration in Oracle [PDF]
Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics, 2021 Data is of major importance in the IT industry nowadays. The need to work with a wide variety of existing data is becoming more and more pressing. IT professionals need to transfer data structures from any language into formats that are recognized by ...
Gianina MIHAI
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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
Hybrid storage engine for geospatial data using NoSQL and SQL paradigms
Tecnología en Marcha, 2021 The design and implementation of services to handle geospatial data involves thinking about storage engine performance and optimization for the desired use.
José A. Herrera-Ramírez +2 more
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CodeS: Towards Building Open-source Language Models for Text-to-SQL [PDF]
Proc. ACM Manag. DataLanguage models have shown promising performance on the task of translating natural language questions into SQL queries (Text-to-SQL). However, most of the state-of-the-art (SOTA) approaches rely on powerful yet closed-source large language models (LLMs),
Haoyang Li +9 more
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Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies [PDF]
arXiv.org, 2023 In-context learning (ICL) has emerged as a new approach to various natural language processing tasks, utilizing large language models (LLMs) to make predictions based on context that has been supplemented with a few examples or task-specific instructions.
Linyong Nan +7 more
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A survey on deep learning approaches for text-to-SQL
The VLDB journal, 2023 To bridge the gap between users and data, numerous text-to-SQL systems have been developed that allow users to pose natural language questions over relational databases.
George Katsogiannis-Meimarakis +1 more
semanticscholar +1 more source
How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings [PDF]
arXiv.org, 2023 Large language models (LLMs) with in-context learning have demonstrated remarkable capability in the text-to-SQL task. Previous research has prompted LLMs with various demonstration-retrieval strategies and intermediate reasoning steps to enhance the ...
Shuaichen Chang, E. Fosler-Lussier
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