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pro vyhledávání: '"Horwood P"'
As large language models (LLMs) become increasingly versatile, numerous large scale benchmarks have been developed to thoroughly assess their capabilities. These benchmarks typically consist of diverse datasets and prompts to evaluate different aspec
Externí odkaz:
http://arxiv.org/abs/2410.05952
Autor:
Arannil, Vinayak, Narwal, Neha, Bhabesh, Sourav Sanjukta, Thirandas, Sai Nikhil, Wang, Darren Yow-Bang, Horwood, Graham, Chirayath, Alex Anto, Pandeshwar, Gouri
Large Language Models (LLMs) have shown remarkable ability to generalize effectively across numerous industry domains while executing a range of tasks. Many of these competencies are obtained from the data utilized during the pre-training phase of th
Externí odkaz:
http://arxiv.org/abs/2410.00260
Interpersonal communication plays a key role in managing people's emotions, especially on digital platforms. Studies have shown that people use social media and consume online content to regulate their emotions and find support for rest and recovery.
Externí odkaz:
http://arxiv.org/abs/2408.07704
Autor:
Chen, Xuexin, Cai, Ruichu, Huang, Zhengting, Zhu, Yuxuan, Horwood, Julien, Hao, Zhifeng, Li, Zijian, Hernandez-Lobato, Jose Miguel
We investigate the problem of explainability for machine learning models, focusing on Feature Attribution Methods (FAMs) that evaluate feature importance through perturbation tests. Despite their utility, FAMs struggle to distinguish the contribution
Externí odkaz:
http://arxiv.org/abs/2402.08845
Autor:
Golchin, Maryam, Di Marco, Moreno, Horwood, Paul, Paini, Dean, Hoskins, Andrew, Hickson, R. I.
Infectious zoonotic disease emergence, through spillover events, is of global concern and has the potential to cause significant harm to society, as recently demonstrated by COVID-19. More than 70% of the 400 infectious diseases that emerged in the p
Externí odkaz:
http://arxiv.org/abs/2311.03654
This work extends the theory of identifiability in supervised learning by considering the consequences of having access to a distribution of tasks. In such cases, we show that linear identifiability is achievable in the general multi-task regression
Externí odkaz:
http://arxiv.org/abs/2306.14861
Autor:
Sarah Denford, Lydia Holt, Rosie Essery, Joanna Kesten, Christie Cabral, Dale Weston, Jeremy Horwood, Matthew Hickman, Richard Amlôt, Lucy Yardley
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Inclusion in public health research of young people from low-income households and those from minority ethnic groups remains low. It is recognised that there is a need to change the way in which research is conducted so that it be
Externí odkaz:
https://doaj.org/article/bdf1877a7dac4205b259d9ea61589002
Publikováno v:
Case Reports in Women's Health, Vol 44, Iss , Pp e00663- (2024)
Saline infusion sonohysterography/hysterosalpingo-contrast sonography is commonly used in the work-up of infertility. Overall, pelvic infection following these investigations is rare, but risk may be increased in patients with deep infiltrating endom
Externí odkaz:
https://doaj.org/article/1977f9b688274c81bc5cfa131bc797bd
Autor:
Jeremy Horwood, Kirsty Garfield, Chris Metcalfe, Nicola Wiles, David Kessler, Joanna Thorn, Madeleine Clout, Dheeraj Rai, Barry Ingham, Peter Langdon, Ailsa Russell, Kate Cooper, Alba Realpe, Christine Russell, Liping Wen, Jessica Frost, Holly Emily Mckeon, Leonora Cotton, Rona Aldridge, Alison Cape, Dave Dagnan, Ed Dawn, Aikaterini Georgakopoulou, Vicky Jervis, Hannah Sheridan, Karolina Slowinska
Publikováno v:
BMJ Open, Vol 14, Iss 11 (2024)
Introduction Depression is three to four times more prevalent in autistic people and is related to reduced quality of life. There is a need for empirically supported psychological interventions for depression specifically adapted to meet the needs of
Externí odkaz:
https://doaj.org/article/ad0f36f1b67647db96cd52622e71aa2e
Autor:
Estelle Clements, Marcus Horwood
Publikováno v:
Journal of Digital Social Research, Vol 6, Iss 3 (2024)
We introduce the concept of shadow footprints as a means of understanding privacy challenges in the information environment. Growing emphasis on the impact of citizens sharing their personal data goes far beyond the individual, with the increased cap
Externí odkaz:
https://doaj.org/article/df831c8cadf4486dac633f294cf2c211