Results 71 to 80 of about 337,613 (156)

Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQL [PDF]

arXiv
The current state-of-the-art (SOTA) for automated text-to-SQL still falls well short of expert human performance as measured by execution accuracy (EX) on the BIRD-SQL benchmark. The most accurate methods are also slow and expensive. To advance the SOTA for text-to-SQL while reducing cost and improving speed, we explore the combination of low-cost fine
arxiv  

Enhancing Security of Web-Based IoT Services via XSS Vulnerability Detection. [PDF]

Sensors (Basel), 2023
Kim J, Park J.
europepmc   +1 more source

Handling SQL Nulls with Two-Valued Logic

, 2021
Leonid Libkin, Liat Peterfreund
openalex   +1 more source

Abacus-SQL: A Text-to-SQL System Empowering Cross-Domain and Open-Domain Database Retrieval [PDF]

arXiv
The existing text-to-SQL systems have made significant progress in SQL query generation, but they still face numerous challenges. Existing systems often lack retrieval capabilities for open-domain databases, requiring users to manually filter relevant databases.
arxiv  

QDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL [PDF]

arXiv
Fine-tuning large language models (LLMs) for specific domain tasks has achieved great success in Text-to-SQL tasks. However, these fine-tuned models often face challenges with multi-turn Text-to-SQL tasks caused by ambiguous or unanswerable questions.
arxiv  

Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness. [PDF]

BMC Med Inform Decis Mak, 2023
Kline JA, Reed B, Frost A, Alanis N, Barshay M, Melzer A, Galbraith JW, Budd A, Winn A, Pun E, Camargo CA.   +10 more
europepmc   +1 more source

SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL [PDF]

arXiv
Text-to-SQL aims to convert natural language questions into executable SQL queries. While previous approaches, such as skeleton-masked selection, have demonstrated strong performance by retrieving similar training examples to guide large language models (LLMs), they struggle in real-world scenarios where such examples are unavailable.
arxiv  

Code Injection Attacks in Wireless-Based Internet of Things (IoT): A Comprehensive Review and Practical Implementations. [PDF]

Sensors (Basel), 2023
Noman HA, Abu-Sharkh OMF.
europepmc   +1 more source

EPI-SQL: Enhancing Text-to-SQL Translation with Error-Prevention Instructions [PDF]

arXiv
The conversion of natural language queries into SQL queries, known as Text-to-SQL, is a critical yet challenging task. This paper introduces EPI-SQL, a novel methodological framework leveraging Large Language Models (LLMs) to enhance the performance of Text-to-SQL tasks. EPI-SQL operates through a four-step process.
arxiv  

Dataset on water quality monitoring from a wireless sensor network in a river in Kosovo. [PDF]

Data Brief, 2022
Ahmedi F, Ahmedi L.
europepmc   +1 more source