Results 71 to 80 of about 8,163 (222)
DKASQL: Dynamic Knowledge Adaptation for Domain-Specific Text-to-SQL
Text2SQL aims to translate natural language queries into structured query language (SQL). LLM-based Text2SQL methods have gradually become mainstream because of their strong capabilities in language understanding and transformation.
Huaxing Bian +6 more
doaj +1 more source
FAIR Workflows in Earth System Modelling: A Use Case With Semantic Data Management
We present a semantic research data management workflow that enables the re‐use of legacy simulation datasets in accordance with FAIR principles. The approach integrates automated semantic annotation, queryable data access, and a connected JupyterHub for FAIR‐compliant output analysis and storage of derived results. ABSTRACT The amount of research data
Sinikka T. Lennartz, Alexander Schlemmer
wiley +1 more source
Leveraging Large Language Model for Enhanced Text-to-SQL Parsing
Text-to-SQL conversion, the process of generating SQL queries from natural language input, has gained significant attention due to its potential to simplify database interaction. Although benchmarks in this task have driven advancements in the field, the
Zecheng Zhan, E. Haihong, Meina Song
doaj +1 more source
Automating Algorithm Experiments With ALGator: From Problem Modeling to Reproducible Results
ABSTRACT Background Theoretical algorithm analysis provides fundamental insights into algorithm complexity but relies on simplified and often outdated computational models. Experimental algorithmics complements this approach by evaluating the empirical performance of algorithm implementations on real data and modern computing platforms.
Tomaž Dobravec
wiley +1 more source
Translating natural language into SQL is essential for intuitive database access, yet open-source small language models (SLMs) still lag behind larger systems when faced with complex schemas and tight context windows.
Le Gia Kiet +3 more
doaj +1 more source
A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL [PDF]
To tackle the challenges of large language model performance in natural language to SQL tasks, we introduce XiYan-SQL, an innovative framework that employs a multi-generator ensemble strategy to improve candidate generation. We introduce M-Schema, a semi-structured schema representation method designed to enhance the understanding of database ...
Yingqi Gao +12 more
openalex +2 more sources
BackgroundElectronic health care records (EHRs) are a rich source of health-related information, with potential for secondary research use. In the United Kingdom, there is no national marker for identifying those who have previously served in the Armed ...
Leightley, Daniel +8 more
doaj +1 more source
With the exponential growth of data in modern organizations, the ability to extract meaningful insights from databases has become crucial. However, interacting with structured databases often requires knowledge of SQL (Structured Query Language), which presents a barrier for non-technical users.
openaire +1 more source
This study found that 3xTg‐AD mice exhibited lifelong reductions in circulating choline. Female 3xTg‐AD mice showed greater AD‐like pathology, whereas males displayed higher mortality, impulsivity, and water‐seeking behavior. These sex‐specific differences suggest distinct metabolic and behavioral vulnerabilities contributing to AD progression in this ...
Jessica M. Judd +5 more
wiley +1 more source
ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought [PDF]
Hanchong Zhang +4 more
openalex +1 more source

