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sub:assertion {
  <https://arxiv.org/abs/2406.17681> <https://sense-nets.xyz/hasZoteroItemType> "preprint" .
  sub:assertion dcterms:creator <https://w3id.org/np/RAoSadUw99CeqDlR2400018nqTzR_38fT86OrTzk16Vts> ;
    <http://purl.org/spar/cito/includesQuotationFrom> <https://x.com/neuranna/status/1791465842632454184> ;
    <http://purl.org/spar/cito/linksTo> <https://arxiv.org/abs/2406.17681> ;
    rdfs:comment """ To reduce evaluation contamination
@XuanmingZhang07 @Zhou_Yu_AI @columbianlp et al.
convert dataset examples into templates(Fig.)
https://arxiv.org/abs/2406.17681

EWOK datasets are built to have this trait
https://x.com/neuranna/status/1791465842632454184
Interesting trend will it last? solve contamination? https://twitter.com/LChoshen/status/1806396147281637645/photo/1

@XuanmingZhang07 @Zhou_Yu_AI @columbianlp If you ask me, a nice step, but it only solves the worst contamination (clear training on the test set). Not on just training on similar formats, synthetic data etc. to improve.
So it is a good approach that should last, but we need more. (@deliprao you had similar claim right?)

""" ;
    schema:keywords "dataset-templates" , "evaluation-contamination" , "ewok-datasets" , "language-model-benchmarking" , "varbench" ;
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