Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Zafaryab"'
Autor:
Zafaryab Rasool, Stefanus Kurniawan, Sherwin Balugo, Scott Barnett, Rajesh Vasa, Courtney Chesser, Benjamin M. Hampstead, Sylvie Belleville, Kon Mouzakis, Alex Bahar-Fuchs
Publikováno v:
Natural Language Processing Journal, Vol 8, Iss , Pp 100083- (2024)
Document-based Question-Answering (QA) tasks are crucial for precise information retrieval. While some existing work focus on evaluating large language model’s (LLMs) performance on retrieving and answering questions from documents, assessing the L
Externí odkaz:
https://doaj.org/article/86a213db56ca48a2828e08525a633c5d
Retrieval Augmented Generation (RAG) is increasingly being used when building Generative AI applications. Evaluating these applications and RAG pipelines is mostly done manually, via a trial and error process. Automating evaluation of RAG pipelines r
Externí odkaz:
http://arxiv.org/abs/2409.19019
Autor:
Sivasothy, Shangeetha, Barnett, Scott, Logothetis, Rena, Abdelrazek, Mohamed, Rasool, Zafaryab, Thudumu, Srikanth, Brannelly, Zac
Engineering safety-critical systems such as medical devices and digital health intervention systems is complex, where long-term engagement with subject-matter experts (SMEs) is needed to capture the systems' expected behaviour. In this paper, we pres
Externí odkaz:
http://arxiv.org/abs/2406.06835
Autor:
Rasool, Zafaryab, Kurniawan, Stefanus, Balugo, Sherwin, Barnett, Scott, Vasa, Rajesh, Chesser, Courtney, Hampstead, Benjamin M., Belleville, Sylvie, Mouzakis, Kon, Bahar-Fuchs, Alex
Document-based Question-Answering (QA) tasks are crucial for precise information retrieval. While some existing work focus on evaluating large language models performance on retrieving and answering questions from documents, assessing the LLMs perfor
Externí odkaz:
http://arxiv.org/abs/2311.07878
Autor:
Rasool, Zafaryab, Kurniawan, Stefanus, Balugo, Sherwin, Barnett, Scott, Vasa, Rajesh, Chesser, Courtney, Hampstead, Benjamin M., Belleville, Sylvie, Mouzakis, Kon, Bahar-Fuchs, Alex
Publikováno v:
In Natural Language Processing Journal September 2024 8
Density Peak Clustering (DPC), a popular density-based clustering approach, has received considerable attention from the research community primarily due to its simplicity and fewer-parameter requirement. However, the resultant clusters obtained usin
Externí odkaz:
http://arxiv.org/abs/2002.03182
Publikováno v:
In Pattern Recognition May 2023 137
Akademický článek
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Publikováno v:
Nanomedicine; Apr2024, Vol. 19 Issue 10, p895-914, 20p
Autor:
Imran Moin, Largee Biswas, Md Zafaryab, Namrata Kumari, Ankita Leekha, Disha Mittal, Anita Kamra Verma
Publikováno v:
Frontiers in Nanotechnology, Vol 3 (2021)
Globally, breast cancer is the foremost cause of mortality among women detected with cancer, with 21% diagnosed in India alone. Etoposide loaded gelatin nanoparticles (EGNP) were prepared and its physical characterization (size:150nm±0.241; zeta pot
Externí odkaz:
https://doaj.org/article/36cdbe319465492d8d350849dc7e6e38