Results 231 to 240 of about 3,669,285 (309)

Text-guided few-shot liver and tumor segmentation. [PDF]

Front Digit Health
Chen H, Xu A, Zhang L, Ouyang M, Zhu Z, Wang J.   +5 more
europepmc   +1 more source

NEFFy: a versatile tool for computing the number of effective sequences. [PDF]

Bioinformatics
Haghani M, Bhattacharya D, Murali TM.
europepmc   +1 more source

Enhancing the capabilities of large language models for API calls through knowledge graphs. [PDF]

Sci Rep
Yang Y, Xiao X, Yin P, Xie T, Ye Y.
europepmc   +1 more source

Performance Modeling of Lightweight Retrieval-Augmented Large Language Models for Low-Resource Plastic Surgery Settings. [PDF]

Bioengineering (Basel)
Sun NY, Genovese A, Prabha S, Gomez-Cabello CA, Haider SA, Collaco B, Pan T, Wood NG, Forte AJ.   +8 more
europepmc   +1 more source

The Promise of Artificial Intelligence to Aid in Systematic Reviews: An Examination of Scopus AI. [PDF]

J Adv Pract Oncol
Madsen LT, Carter JC, Cantanelli S, Hong C, Bazzell A.   +4 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

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 ...
Floris Geerts, Thomas Muñoz, Cristian Riveros, Jan Van den Bussche, Domagoj Vrgoc   +4 more
openaire   +2 more sources

Query Language

Pro Jakarta Persistence in Jakarta EE 10, 2022
Lukas Jungmann, Mike Keith, Merrick Schincariol, Massimo Nardone   +3 more
semanticscholar   +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