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 +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
DTS-SQL: Decomposed Text-to-SQL with Small Large Language Models
Findings of the Association for Computational Linguistics: EMNLP 2024Leading models for the text-to-SQL task heavily rely on proprietary Large Language Models (LLMs), posing concerns over data privacy. Closing the performance gap between small open-source models and large proprietary models is crucial to mitigate this reliance.
Pourreza, Mohammadreza, Rafiei, Davood
openaire +2 more sources
Beyond Standard Losses: Redefining Text-to-SQL with Task-Specific Optimization
MathematicsIn recent years, large language models (LLMs) have shown an impressive ability in translating text to SQL queries. However, in real-world applications, standard loss functions frequently fail to capture the complexity of queries adequately. Therefore, in
Iker Azurmendi +4 more
doaj +1 more source
Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing [PDF]
, 2023 Aiwei Liu +6 more
openalex +1 more source
RSL-SQL: Robust Schema Linking in Text-to-SQL Generation
Text-to-SQL generation aims to translate natural language questions into SQL statements. In Text-to-SQL based on large language models, schema linking is a widely adopted strategy to streamline the input for LLMs by selecting only relevant schema elements, therefore reducing noise and computational overhead.
Cao, Zhenbiao +5 more
openaire +2 more sources
RH-SQL: Refined Schema and Hardness Prompt for Text-to-SQL
2024 6th International Conference on Electronic Engineering and Informatics (EEI)4 pages, 2 figures, 2024 6th International Conference on Electronic Engineering and Informatics (EEI 2024)
Yi, Jiawen, Chen, Guo, Shen, Zixiang
openaire +2 more sources
G3R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation [PDF]
, 2023 Yanzheng Xiang +5 more
openalex +1 more source
Towards Understanding the Generalization of Medical Text-to-SQL Models and Datasets. [PDF]
AMIA Annu Symp Proc, 2023 Tarbell R, Choo KR, Dietrich G, Rios A.
europepmc +1 more source
Deep Learning Driven Natural Languages Text to SQL Query Conversion: A Survey [PDF]
, 2022 Ayush Kumar +3 more
openalex +1 more source