Results 21 to 30 of about 83,370 (327)
A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases [PDF]
Enterprise applications of Large Language Models (LLMs) hold promise for question answering on enterprise SQL databases. However, the extent to which LLMs can accurately respond to enterprise questions in such databases remains unclear, given the absence
Juan Sequeda, D. Allemang, Bryon Jacob
semanticscholar +1 more source
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
doaj +1 more source
Abstract In 2018, an NHS Trust (UK) implemented an innovative Nursing System Framework (NSF). The NSF formalized a two‐year strategy, which provided teams with clear aims and measurable objectives to deliver care. Failures of coordination of nursing services are well‐recognized threats to the quality, safety and sustainability of care provision. Aim To
Ann‐Marie Cannaby+6 more
wiley +1 more source
Evaluating the Text-to-SQL Capabilities of Large Language Models [PDF]
We perform an empirical evaluation of Text-to-SQL capabilities of the Codex language model. We find that, without any finetuning, Codex is a strong baseline on the Spider benchmark; we also analyze the failure modes of Codex in this setting. Furthermore,
Nitarshan Rajkumar+2 more
semanticscholar +1 more source
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
doaj +1 more source
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL
One impressive emergent capability of large language models (LLMs) is generation of code, including Structured Query Language (SQL) for databases. For the task of converting natural language text to SQL queries, Text-to-SQL, adaptation of LLMs is of ...
Ruoxi Sun+6 more
semanticscholar +1 more source
RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL [PDF]
Relational structures such as schema linking and schema encoding have been validated as a key component to qualitatively translating natural language into SQL queries.
Jiexing Qi+7 more
semanticscholar +1 more source
CYTOCON: The manually curated database of human in vivo cell and molecule concentrations
Abstract Cell and cYTOkine CONcentrations DataBase (CYTOCON DB) is a project undertaken by the InSysBio team and aimed at the development of a database that allows collecting, processing, and visualizing publicly available in vivo human data on baseline concentrations of cells, cytokines, chemokines, and other molecules.
Vladislav Leonov+4 more
wiley +1 more source
Translating Temporal SQL to Nested SQL [PDF]
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
The competent software architecture plays a crucial role in the difficult task of big data processing for SQL and NoSQL databases. SQL databases were created to organize data and allow for horizontal expansion. NoSQL databases, on the other hand, support
Wisal Khan+5 more
semanticscholar +1 more source