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1 Ergebnisse
1
Unifying Corroborative and Contributive Attributions in Lar..:
, In:
2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
,
Worledge, Theodora
;
Shen, Judy Hanwen
;
Meister, Nicole
.. - p. 665-683 , 2024
Link:
https://doi.org/10.1109/SaTML59370.2024.00039
RT T1 <cTitle>2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)</cTitle>: T1 <Title>Unifying Corroborative and Contributive Attributions in Large Language Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10516637&Exemplar=1&LAN=DE A1 Worledge, Theodora A1 Shen, Judy Hanwen A1 Meister, Nicole A1 Winston, Caleb A1 Guestrin, Carlos YR 2024 K1 Law K1 Training data K1 Standardization K1 Machine learning K1 Fasteners K1 Data models K1 Question answering (information retrieval) K1 train data attribution K1 citation generation K1 large language model attribution K1 explainability SP 665 OP 683 LK http://dx.doi.org/https://doi.org/10.1109/SaTML59370.2024.00039 DO https://doi.org/10.1109/SaTML59370.2024.00039 SF ELIB - SuUB Bremen
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