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@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix schema: <https://schema.org/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
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}
sub:assertion {
   <https://arxiv.org/abs/2309.13638> <https://sense-nets.xyz/hasZoteroItemType> "preprint" .
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    <http://purl.org/spar/cito/linksTo> <https://arxiv.org/abs/2309.13638> ;
    rdfs:comment """ These are cool papers on examining LLMs as statistical systems rather than reasoning system. They look at tasks and evaluate the models' sensitivity to probability even if the tasks themselves are deterministic. https://arxiv.org/abs/2309.13638

""" ;
    schema:keywords "autoregression" , "large-language-models" , "next-word-prediction" , "sensitivity-to-probability" .
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