Results 21 to 30 of about 32,339,977 (323)
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
Conference on Fairness, Accountability and Transparency, 2021 The past 3 years of work in NLP have been characterized by the development and deployment of ever larger language models, especially for English. BERT, its variants, GPT-2/3, and others, most recently Switch-C, have pushed the boundaries of the possible ...
Emily M. Bender +3 more
semanticscholar +1 more source
Modeling modeling modeling [PDF]
Software & Systems Modeling, 2010 Model-driven engineering and model-based approaches have permeated all branches of software engineering to the point that it seems that we are using models, as Molière's Monsieur Jourdain was using prose, without knowing it. At the heart of modeling, there is a relation that we establish to represent something by something else. In this paper we review
Muller, Pierre-Alain +3 more
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Stability of African swine fever virus genome under different environmental conditions [PDF]
Veterinary World, 2023 Background and Aim: African swine fever (ASF), a globally transmitted viral disease caused by ASF virus (ASFV), can severely damage the global trade economy.
Wei Zheng +8 more
doaj +1 more source
TruthfulQA: Measuring How Models Mimic Human Falsehoods [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 We propose a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 817 questions that span 38 categories, including health, law, finance and politics.
Stephanie C. Lin +2 more
semanticscholar +1 more source
Generation of hiPSCs with ABO c.767T>C substitution: resulting in splicing variants
Frontiers in Genetics, 2023 Introduction: The ABO blood group system has important clinical significance in the safety of blood transfusion and organ transplantation. Numerous ABO variations, especially variations in the splice sites, have been identified to be associated with some
Yinge Jin +12 more
doaj +1 more source
Scientific Reports, 2021 Phenylketonuria (PKU) is an autosomal recessive inborn error of l-phenylalanine (Phe) metabolism. It is caused by a partial or complete deficiency of the enzyme phenylalanine hydroxylase (PAH), which is necessary for conversion of Phe to tyrosine (Tyr ...
Kuldeep Singh +21 more
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Membership Inference Attacks Against Machine Learning Models [PDF]
IEEE Symposium on Security and Privacy, 2016 We quantitatively investigate how machine learning models leak information about the individual data records on which they were trained. We focus on the basic membership inference attack: given a data record and black-box access to a model, determine if ...
R. Shokri +3 more
semanticscholar +1 more source
Modeling Model Uncertainty [PDF]
Journal of the European Economic Association, 2002 Recently there has been a great deal of interest in studying monetary policy under model uncertainty. We develop new methods to analyze different sources of uncertainty in one coherent structure, which is useful for policy decisions. We show how to estimate the size of the uncertainty based on time series data, and how to incorporate this uncertainty ...
Onatski, Alexei, Williams, Noah
openaire +6 more sources
BMC Biology, 2020 Background Endocrine cells of the zebrafish digestive system play an important role in regulating metabolism and include pancreatic endocrine cells (PECs) clustered in the islets of Langerhans and the enteroendocrine cells (EECs) scattered in the ...
Arnaud Lavergne +7 more
doaj +1 more source
A Survey of Methods for Explaining Black Box Models [PDF]
ACM Computing Surveys, 2018 In recent years, many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of explanation constitutes both a practical and an ethical issue.
Riccardo Guidotti +4 more
semanticscholar +1 more source