output
20162024
most citedCommon pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

1k citations

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Showing 2023Show all

2 papers · 1 filter

cs.CL2023★ 14 cited

Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization

George Chrysostomou, Zhixue Zhao, Miles Williams +1

Despite the remarkable performance of generative large language models (LLMs) on abstractive summarization, they face two significant challenges: their considerable size and tenden…

stat.ME2023★ 2 cited

Beyond the classical type I error: Bayesian metrics for Bayesian designs using informative priors

Nicky Best, Maxine Ajimi, Beat Neuenschwander +2

There is growing interest in Bayesian clinical trial designs with informative prior distributions, e.g. for extrapolation of adult data to pediatrics, or use of external controls.…