Results 201 to 210 of about 438,741 (228)

From articles to code: on-demand generation of core algorithms from scientific publications. [PDF]

Bioinformatics
Movassaghi CS, Momenzadeh A, Meyer JG.
europepmc   +1 more source

From ChatGPT to DeepSeek: assessing the accuracy and readability of AI-generated erectile dysfunction responses. [PDF]

BMC Urol
Demirhan K, Erdik A, Cimen HI, Kose O, Saglam HS.   +4 more
europepmc   +1 more source

Evaluation of large language model-driven AutoML in data and model management from human-centered perspective. [PDF]

Front Artif Intell
Yao J, Zhang L, Huang J.
europepmc   +1 more source

Facilitating analysis of open neurophysiology data on the DANDI Archive using large language model tools. [PDF]

Sci Data
Magland JF, Ly R, Rübel O, Dichter B.
europepmc   +1 more source

Regarding: 'prevalence, characteristics and measurement of somatic symptoms related to mental health in medical students: a scoping review'. [PDF]

Ann Med
Darwish R, Zakhary MB, Wingate KM.
europepmc   +1 more source

Evaluating Web Retrieval-Assisted Large Language Models With and Without Whitelisting for Evidence-Based Neurology: Comparative Study.

J Med Internet Res
Masanneck L, Epping PZ, Meuth SG, Pawlitzki M.   +3 more
europepmc   +1 more source

Automatic spatial layout planning system using a second-generation constraint logic programming language

Expert Systems with Applications, 1997
Abstract Spatial layout planning generates two-dimensional layouts consisting of a configuration of rectangles. Our new method represents the rectangles as inconsistent sets of linear constraints. We then select the consistent sets from them by using a second-generation Constraint Logic Programming (CLP) language that employs a new search mechanism ...
Kazuyoshi Honda, Fumio Mizoguchi
openaire   +2 more sources

Towards second-generation logic programming languages for high-level, knowledge-oriented programming

, 1990
J Grabowski, W Müller, R. Oehlke
openaire   +2 more sources

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Large language models in medicine

Nature Medicine, 2023
Arun James Thirunavukarasu
exaly  

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

ACM Computing Surveys, 2023

exaly