Results 11 to 20 of about 83,370 (327)
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
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
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
doaj +1 more source
Business Strategy and the Environment, Volume 31, Issue 8, Page 3786-3801, December 2022., 2022 Abstract Blockchain is increasingly lauded as an enabler of the transition to a circular economy. While there is considerable conceptual research and some empirical studies on this phenomenon, scholars have yet to develop a theoretical model of blockchain's role in this transition.
Moritz Böhmecke‐Schwafert +2 more
wiley +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
semanticscholar +1 more source
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
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
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
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