Zobrazeno 1 - 10
of 1 818
pro vyhledávání: '"P. Bentham"'
Increasingly, model compression techniques enable large language models (LLMs) to be deployed in real-world applications. As a result of this momentum towards local deployment, compressed LLMs will interact with a large population. Prior work on comp
Externí odkaz:
http://arxiv.org/abs/2407.04965
Understanding the extent to which Chain-of-Thought (CoT) generations align with a large language model's (LLM) internal computations is critical for deciding whether to trust an LLM's output. As a proxy for CoT faithfulness, Lanham et al. (2023) prop
Externí odkaz:
http://arxiv.org/abs/2402.14897
Autor:
Richard Culliford, Samuel E. D. Lawrence, Charlie Mills, Zayd Tippu, Daniel Chubb, Alex J. Cornish, Lisa Browning, Ben Kinnersley, Robert Bentham, Amit Sud, Husayn Pallikonda, The Renal Cancer Genomics England Consortium, Anna Frangou, Andreas J. Gruber, Kevin Litchfield, David Wedge, James Larkin, Samra Turajlic, Richard S. Houlston
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Clear cell renal cell carcinoma (ccRCC) is the most common form of kidney cancer, but a comprehensive description of its genomic landscape is lacking. We report the whole genome sequencing of 778 ccRCC patients enrolled in the 100,000 Genome
Externí odkaz:
https://doaj.org/article/25c1fd274e444b1a83a98b4d7c16c2c8
Publikováno v:
Imagens da Educação, Vol 14, Iss 3 (2024)
This paper describes the conditions for teaching students and teacher-residents in the autumn of 2020 when professors in many countries needed to implement remote teaching. Also, the teaching and cultural institutions were closed and only functioning
Externí odkaz:
https://doaj.org/article/a118fdc9f0ec469db868fb003d596584
Autor:
Charlie Mills, Amit Sud, Andrew Everall, Daniel Chubb, Samuel E. D. Lawrence, Ben Kinnersley, Alex J. Cornish, Robert Bentham, Richard S. Houlston
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-9 (2024)
Abstract Interval breast cancers (IBCs) are cancers diagnosed between screening episodes. Understanding the biological differences between IBCs and screen-detected breast-cancers (SDBCs) has the potential to improve mammographic screening and patient
Externí odkaz:
https://doaj.org/article/78678a7ee8644527b5a961dd5cdb6fbe
Autor:
Emma Brown, Gemma Swinscoe, Daniella A Lefteri, Ravi Singh, Amy Moran, Rebecca F Thompson, Daniel Maskell, Hannah Beaumont, Matthew J Bentham, Claire Donald, Alain Kohl, Andrew Macdonald, Neil Ranson, Richard Foster, Clive S McKimmie, Antreas C Kalli, Stephen Griffin
Publikováno v:
eLife, Vol 13 (2024)
Flaviviruses, including Zika virus (ZIKV), are a significant global health concern, yet no licensed antivirals exist to treat disease. The small membrane (M) protein plays well-defined roles during viral egress and remains within virion membranes fol
Externí odkaz:
https://doaj.org/article/2ea2a660429141029618f43cf5ee6d6c
Autor:
Adam R. Bentham, Wei Wang, Franziska Trusch, Freya A. Varden, Paul R. J. Birch, Mark J. Banfield
Publikováno v:
Molecular Plant-Microbe Interactions, Vol 37, Iss 3, Pp 239-249 (2024)
Plant pathogens manipulate the cellular environment of the host to facilitate infection and colonization that often lead to plant diseases. To accomplish this, many specialized pathogens secrete virulence proteins called effectors into the host cell,
Externí odkaz:
https://doaj.org/article/62079bf8ec4842b68e800483319d6a1b
Intrinsic Gaussian Markov Random Fields (IGMRFs) can be used to induce conditional dependence in Bayesian hierarchical models. IGMRFs have both a precision matrix, which defines the neighbourhood structure of the model, and a precision, or scaling, p
Externí odkaz:
http://arxiv.org/abs/2111.09003
Many real-world phenomena are naturally bivariate. This includes blood pressure, which comprises systolic and diastolic levels. Here, we develop a Bayesian hierarchical model that estimates these values and their interactions simultaneously, using sp
Externí odkaz:
http://arxiv.org/abs/2111.07848
Autor:
Muhammad Atif Nisar, Kirstin E. Ross, Melissa H. Brown, Richard Bentham, Giles Best, Nicholas S. Eyre, Sophie C. Leterme, Harriet Whiley
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32334- (2024)
Legionella is the causative agent of Legionnaires’ disease, and its prevalence in potable water is a significant public health issue. Water stagnation within buildings increases the risk of Legionella. However, there are limited studies investigati
Externí odkaz:
https://doaj.org/article/cab7c74ac1554649b5a8a2685b9069ba