Results 301 to 310 of about 3,779,106 (381)

Enhancing Customer Service Efficiency: Automating Responses to Customer Queries using Natural Language Processing and Radial Basis Function Neural Network (RBFNN)

Sapanakolambe, Parminder Kaur
openalex   +1 more source

Enhancing Multilingual RAG Systems with Debiased Language Preference-Guided Query Fusion [PDF]

Jeonghyun Park, Byeongjeong Kim, Seojin Hwang, Hwanhee Lee   +3 more
openalex  

Enhancing internet of things security against structured query language injection and brute force attacks through federated learning

Aigul Adamova, Tamara Zhukabayeva, Zhanna Mukanova, Zhanar Oralbekova   +3 more
openalex   +2 more sources

Enhancing Large Language Models for Improved Accuracy and Safety in Medical Question Answering: Comparative Study.

JMIR Med Educ
Wang D, Ye J, Li J, Liang J, Zhang Q, Hu Q, Pan C, Wang D, Liu Z, Shi W, Guo M, Li F, Du W, Zheng YF.   +13 more
europepmc   +1 more source

Large Language Models for Automating Clinical Trial Criteria Conversion to Observational Medical Outcomes Partnership Common Data Model Queries: Validation and Evaluation Study.

JMIR Med Inform
Lee KH, Jang S, Kim GJ, Park S, Kim D, Kwon OJ, Lee JH, Kim YH.   +7 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Query Language

Pro Jakarta Persistence in Jakarta EE 10, 2018
Mike Keith, Merrick Schincariol, Massimo Nardone   +2 more
semanticscholar   +3 more sources

Matrix Query Languages

ACM SIGMOD Record, 2021
Due to the importance of linear algebra and matrix operations in data analytics, there has been a renewed interest in developing query languages that combine both standard relational operations and linear algebra operations. We survey aspects of the matrix query language MATLANG and extensions thereof, and connect matrix query languages to classical ...
Geerts, Floris, Munoz, Thomas, Riveros, Cristian, Van den Bussche, Jan, Vrgoc, Domagoj   +4 more
openaire   +2 more sources

Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting

Conference on Empirical Methods in Natural Language Processing, 2023
Query rewriting plays a vital role in enhancing conversational search by transforming context-dependent user queries into standalone forms. Existing approaches primarily leverage human-rewritten queries as labels to train query rewriting models. However,
Fanghua Ye, Meng Fang, Shenghui Li, Emine Yilmaz   +3 more
semanticscholar   +1 more source