Zobrazeno 1 - 10
of 11 313
pro vyhledávání: '"Williams, Paul A"'
Publikováno v:
XX Conferencia de la Asociaci\'on Espa\~nola para la Inteligencia Artificial (CAEPIA 2024), pages 225-226. ISBN 978-84-09-62724-0
This is a summary of the paper "A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing", which was published in Findings of EMNLP 2023. We evaluate a range of recent state-of-the-art, instruction-tuned large language models (
Externí odkaz:
http://arxiv.org/abs/2406.15891
Publikováno v:
A condensed version is in Proceedings of the 34th International Conference on Collaborative Advances in Software and COmputiNg (CASCON 2024)
Sarcasm is a form of irony that requires readers or listeners to interpret its intended meaning by considering context and social cues. Machine learning classification models have long had difficulty detecting sarcasm due to its social complexity and
Externí odkaz:
http://arxiv.org/abs/2312.04642
We evaluate a range of recent LLMs on English creative writing, a challenging and complex task that requires imagination, coherence, and style. We use a difficult, open-ended scenario chosen to avoid training data reuse: an epic narration of a single
Externí odkaz:
http://arxiv.org/abs/2310.08433
AIM To analyse the performance of a deep-learning (DL) algorithm currently deployed as diagnostic decision support software in two NHS Trusts used to identify normal chest x-rays in active clinical pathways. MATERIALS AND METHODS A DL algorithm has b
Externí odkaz:
http://arxiv.org/abs/2306.16115
Autor:
Dyer, Tom, Smith, Jordan, Dissez, Gaetan, Tay, Nicole, Malik, Qaiser, Morgan, Tom Naunton, Williams, Paul, Garcia-Mondragon, Liliana, Pearse, George, Rasalingham, Simon
Purpose: Artificial intelligence (AI) solutions for medical diagnosis require thorough evaluation to demonstrate that performance is maintained for all patient sub-groups and to ensure that proposed improvements in care will be delivered equitably. T
Externí odkaz:
http://arxiv.org/abs/2209.09204
Autor:
Dissez, Gaetan, Tay, Nicole, Dyer, Tom, Tam, Matthew, Dittrich, Richard, Doyne, David, Hoare, James, Pat, Jackson J., Patterson, Stephanie, Stockham, Amanda, Malik, Qaiser, Morgan, Tom Naunton, Williams, Paul, Garcia-Mondragon, Liliana, Smith, Jordan, Pearse, George, Rasalingham, Simon
Objectives: The present study evaluated the impact of a commercially available explainable AI algorithm in augmenting the ability of clinicians to identify lung cancer on chest X-rays (CXR). Design: This retrospective study evaluated the performance
Externí odkaz:
http://arxiv.org/abs/2208.14742
Autor:
Meadows, J. Allen a, ∗, Gross, Gary N. b, Wasan, Anita N. c, d, Baker, Dole P. e, Patterson, Amber f, Puchalski, Robert g, Nanda, Anil h, i, Lucas, Jami j, Sublett, J. Wesley k, Williams, Paul V. l
Publikováno v:
In The Journal of Allergy and Clinical Immunology: In Practice January 2025 13(1):66-68
Publikováno v:
In Thin-Walled Structures January 2025 206 Part A
Autor:
Tello, Khodr a, b, Yogeswaran, Athiththan a, b, Majeed, Raphael W. a, c, Kiely, David G. d, Lawrie, Allan d, Brittain, Evan f, Annis, Jeffrey S. f, Olschewski, Horst j, Kovacs, Gabor j, Hassoun, Paul M. g, Balasubramanian, Aparna g, Konswa, Ziad g, Sweatt, Andrew J. h, Zamanian, Roham T. h, Wilkins, Martin R. e, Howard, Luke e, Arvanitaki, Alexandra k, Giannakoulas, George k, Cajigas, Hector R. i, Frantz, Robert i, Williams, Paul G. l, Frauendorf, Marlize l, Marquardt, Kurt a, Antoine, Tobiah a, Fuenderich, Meike a, b, Richter, Manuel a, Grimminger, Friedrich a, b, Ghofrani, Hossein-Ardeschir a, b, Wilhelm, Jochen a, b, Seeger, Werner a, b, ∗
Publikováno v:
In Chest January 2025 167(1):224-240
Autor:
Matenda, Rumbidzai T., Rip, Diane, Fernández Pierna, Juan A., Baeten, Vincent, Williams, Paul J.
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 5 November 2024 320