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1,720 claims from 1,059 papers are on the record. 46 have been checked so far; the other 1,674 have no check with a result yet.

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Keyword: model performance comparison ×Clear all

1 claim from 1 paper

1. Computer Science › Topic Modeling

   A Survey of Text Classification With Transformers: How Wide? How Large? How Long? How Accurate? How Expensive? How Safe?

   Fields, Chovanec and Madiraju · IEEE Access · 2024

   A survey of transformer-based text classification covering history, text-only and multimodal inputs, text length, accuracy, cost, safety, ethics, bias and copyright.

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   1. UncheckedA review of accuracy across 358 datasets and 20 applications reports that large language models are not always the most accurate or cheapest option.“Furthermore, the accuracy on 358 datasets across 20 applications is reviewed and unexpected results emerge which show that LLMs are not always the most accurate or least expensive option.”