Zobrazeno 1 - 10
of 10 493
pro vyhledávání: '"A Siddiq"'
Large language models (LLMs) are becoming increasingly better at a wide range of Natural Language Processing tasks (NLP), such as text generation and understanding. Recently, these models have extended their capabilities to coding tasks, bridging the
Externí odkaz:
http://arxiv.org/abs/2410.16349
Autor:
Joerg Steier, David R Jones, Neil Ward, A Sathyapala, Simon Merritt, Julia Dielesen, Peter Dickel, A Siddiq Pulakal, Justin C Pepperill
Publikováno v:
BMJ Open Respiratory Research, Vol 8, Iss Suppl 1 (2021)
Externí odkaz:
https://doaj.org/article/345a7e12128a43c3a19e9fd56a5a6554
Large Language Models (LLMs) are gaining popularity among software engineers. A crucial aspect of developing effective code generation LLMs is to evaluate these models using a robust benchmark. Evaluation benchmarks with quality issues can provide a
Externí odkaz:
http://arxiv.org/abs/2404.10155
Autor:
D Desmonts de Lamache, R Moges, A Siddiq, T Allain, T D Feener, G P Muench, N McKenna, R M Yates, A G Buret
Publikováno v:
PLoS ONE, Vol 14, Iss 8, p e0221560 (2019)
Porcine reproductive and respiratory syndrome virus (PRRSV) is a positive-stranded RNA virus that grows in macrophages and causes acute pneumonia in pigs. PRRSV causes devastating losses to the porcine industry. However, due to its high antigenic var
Externí odkaz:
https://doaj.org/article/2b0d8859b92e4274a8917d16b91d1e46
Publikováno v:
International Journal of Islamic and Middle Eastern Finance and Management, 2024, Vol. 17, Issue 6, pp. 1267-1290.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IMEFM-01-2024-0054
Publikováno v:
39th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW '24), October 27-November 1, 2024, Sacramento, CA, USA, ACM, New York, NY, USA, 12 pages
With the growing popularity of Large Language Models (LLMs) in software engineers' daily practices, it is important to ensure that the code generated by these tools is not only functionally correct but also free of vulnerabilities. Although LLMs can
Externí odkaz:
http://arxiv.org/abs/2311.00889
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-20 (2024)
Abstract This study reviews the studies utilizing Artificial Intelligence (AI) and AI-driven tools and methods in managing Acute Kidney Injury (AKI). It categorizes the studies according to medical specialties, analyses the gaps in the existing resea
Externí odkaz:
https://doaj.org/article/03e4036ab9bc49d28a4ad6a0c466b15f
Autor:
Darwin A. León-Figueroa, Joshuan J. Barboza, Abdelmonem Siddiq, Edwin Aguirre-Milachay, Carlos Quispe-Vicuña, Ranjit Sah, Mario J. Valladares-Garrido, Suraj Adhikari, D. Katterine Bonilla-Aldana, Alex Ricardo-Martínez, Jorge Guillermo Morales-Ramos, Alfonso J. Rodriguez-Morales
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Toxoplasmosis is a chronic protozoan parasitic infection that affects nearly one-third of the global population. During the COVID-19 pandemic, cases were observed in patients with COVID-19 and toxoplasmosis. Therefore, this system
Externí odkaz:
https://doaj.org/article/3458142740864795a5353e3d26df04b8
In recent years, the use of automated source code generation utilizing transformer-based generative models has expanded, and these models can generate functional code according to the requirements of the developers. However, recent research revealed
Externí odkaz:
http://arxiv.org/abs/2307.08220
Autor:
Siddiq, Mohammed Latif, Santos, Joanna C. S., Tanvir, Ridwanul Hasan, Ulfat, Noshin, Rifat, Fahmid Al, Lopes, Vinicius Carvalho
Publikováno v:
The 28th International Conference on Evaluation and Assessment in Software Engineering (EASE), 2024, 313-322
A code generation model generates code by taking a prompt from a code comment, existing code, or a combination of both. Although code generation models (e.g., GitHub Copilot) are increasingly being adopted in practice, it is unclear whether they can
Externí odkaz:
http://arxiv.org/abs/2305.00418