Results 101 to 110 of about 9,267 (223)

Enhancing text-to-SQL capabilities of small language models via schema context enrichment and self-correction

CTU Journal of Innovation and Sustainable Development
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, Le Quoc Khanh, Nguyen Minh Nhut, Nguyen Dinh Thuan   +3 more
doaj   +1 more source

Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies [PDF]

, 2023
Linyong Nan, Yilun Zhao, Weijin Zou, Narutatsu Ri, Jaesung Tae, Ellen Zhang, Arman Cohan, Dragomir Radev   +7 more
openalex   +1 more source

Text-to-SQL [PDF]

Tato bakalářská práce se zaměřuje na analýzu a porovnání výkonu menších jazykových modelů ve srovnání s velkými jazykovými modely (LLM) v úloze převodu textu na SQL dotazy.
Dohnal, Cyril
core  

SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers

, 2022
This paper aims to improve the performance of text-to-SQL parsing by exploring the intrinsic uncertainties in the neural network based approaches (called SUN).
Huang, Fei, Hui, Binyuan, Li, Binhua, Li, Bowen, Li, Yongbin, Qin, Bowen, Si, Luo, Wang, Lihan, Wei, Xiangpeng, Yang, Min   +9 more
core  

The Development of the Military Service Identification Tool: Identifying Military Veterans in a Clinical Research Database Using Natural Language Processing and Machine Learning

JMIR Medical Informatics, 2020
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, Pernet, David, Velupillai, Sumithra, Stewart, Robert J, Mark, Katharine M, Opie, Elena, Murphy, Dominic, Fear, Nicola T, Stevelink, Sharon A M   +8 more
doaj   +1 more source

The 3xTg‐AD Mouse Model of Alzheimer's Disease Exhibits Lifelong Reductions in Circulating Choline Despite Adequate Dietary Intake, With Sex‐Specific Neuropathological and Behavioral Phenotypes

Aging Cell, Volume 25, Issue 1, January 2026.
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, Faizan Mistry, Wendy Winslow, Savannah Tallino, Julie Turk, Ramon Velazquez   +5 more
wiley   +1 more source

Using Natural Language Processing to Characterize Early Steps in the Kidney Transplant Evaluation Process Documented in the National Veterans Affairs Electronic Health Record

Clinical Transplantation, Volume 40, Issue 1, January 2026.
ABSTRACT Background Efforts to identify barriers and improve access to kidney transplantation in the United States are limited by a lack of population‐level data on early steps in the transplant evaluation process. Methods We used a rule‐based natural language processing (NLP) approach with clinical notes in the US Veterans Affairs Healthcare System ...
Hannah Eyre, David K. Prince, Sandra Abrahamson, Richard K. Blankenhorn, Evan P. Carey, Ryan J. Laundry, Whitney Showalter, Jeffrey Todd‐Stenberg, Ann M. O'Hare, Catherine R. Butler   +9 more
wiley   +1 more source

The Language of Uncertainty: Reading Türkiye's Economic Pulse Through Geopolitical Fog

The World Economy, Volume 49, Issue 1, Page 30-51, January 2026.
ABSTRACT Geopolitical uncertainty is an increasing concern for investors, entrepreneurs, and researchers. Traditional methods of measuring uncertainty often fall short, whereas Artificial Intelligence (AI)‐driven Natural Language Processing (NLP) offers more accurate and competitive options.
Ilhan Kilic, Faruk Balli
wiley   +1 more source

On the Vulnerabilities of Text-to-SQL Models

2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE), 2023
Peng, X., Zhang, Y., Yang, J., Stevenson, R.M.   +3 more
openaire   +2 more sources

Content Enhanced BERT-based Text-to-SQL Generation

, 2019
We present a simple methods to leverage the table content for the BERT-based model to solve the text-to-SQL problem. Based on the observation that some of the table content match some words in question string and some of the table header also match some words in question string, we encode two addition feature vector for the deep model. Our methods also
Guo, Tong, Gao, Huilin
openaire   +2 more sources