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1 Ergebnisse
1
ReAGent: A Model-agnostic Feature Attribution Method for Ge..:
Zhixue Zhao
;
Boxuan Shan
https://figshare.com/articles/preprint/ReAGent_A_Model-agnostic_Feature_Attribution_Method_for_Generative_Language_Models/25129976. , 2024
Link:
https://doi.org/10.6084/m9.figshare.25129976.v1
RT Journal T1 <Title>ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonianinsp:oai:figshare.com:article_25129976&Exemplar=1&LAN=DE A1 Zhixue Zhao A1 Boxuan Shan YR 2024 K1 Natural language processing K1 LLMs K1 GPT2 K1 Model explanation K1 Feature Attribution K1 trustworthy AI K1 Language Modelling K1 Generative Language Models K1 decoder models JF https://figshare.com/articles/preprint/ReAGent_A_Model-agnostic_Feature_Attribution_Method_for_Generative_Language_Models/25129976 LK http://dx.doi.org/https://doi.org/10.6084/m9.figshare.25129976.v1 DO https://doi.org/10.6084/m9.figshare.25129976.v1 SF ELIB - SuUB Bremen
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