Results 21 to 30 of about 82,951 (280)
Patria Artha Technological Journal, 2021 Attendance is a mandatory requirement for employee attendance. There are still many who use the manual system. Of course it is not efficient, so an attendance attendance system is needed that can run to facilitate attendance tasks and activities ...
Rosmiati Rosmiati +2 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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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
semanticscholar +1 more source
Translating Temporal SQL to Nested SQL [PDF]
2016 23rd International Symposium on Temporal Representation and Reasoning (TIME), 2016 Sequenced and nonsequenced semantics are the two previously researched semantics for the evaluation of an operation in a temporal database such as a query or data modification. Sequenced semantics evaluates an operation in each time instant using only the data alive at that time.
Curtis E. Dyreson, Venkata A. Rani
openaire +4 more sources
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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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
semanticscholar +1 more source
SHS Web of Conferences, 2023 In many modern apps, especially those that provide the user intelligence help, the usage of chatbots is quite common. In reality, these systems frequently have chatbots that can read user inquiries and give the appropriate replies quickly and accurately ...
Hussain Saqib +3 more
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Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness [PDF]
International Conference on Learning Representations, 2023 Neural text-to-SQL models have achieved remarkable performance in translating natural language questions into SQL queries. However, recent studies reveal that text-to-SQL models are vulnerable to task-specific perturbations.
Shuaichen Chang +15 more
semanticscholar +1 more source
LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 This work aims to tackle the challenging heterogeneous graph encoding problem in the text-to-SQL task. Previous methods are typically node-centric and merely utilize different weight matrices to parameterize edge types, which 1) ignore the rich semantics
Ruisheng Cao +5 more
semanticscholar +1 more source
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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