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1 Ergebnisse
1
Quantifying Bias in Agentic Large Language Models: A Benchm..:
, In:
2024 5th Information Communication Technologies Conference (ICTC)
,
Fernando, Riya
;
Norton, Isabel
;
Dogra, Pranay
... - p. 349-353 , 2024
Link:
https://doi.org/10.1109/ICTC61510.2024.10601938
RT T1 <cTitle>2024 5th Information Communication Technologies Conference (ICTC)</cTitle>: T1 <Title>Quantifying Bias in Agentic Large Language Models: A Benchmarking Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10601938&Exemplar=1&LAN=DE A1 Fernando, Riya A1 Norton, Isabel A1 Dogra, Pranay A1 Sarnaik, Rohit A1 Wazir, Hasan A1 Ren, Zitang A1 Gunda, Niveta Sree A1 Mukhopadhyay, Anushka A1 Lutz, Michael YR 2024 K1 Measurement K1 Large language models K1 Prevention and mitigation K1 Decision making K1 Reinforcement learning K1 Medical services K1 Benchmark testing K1 Bias K1 LLMs K1 machine learning SP 349 OP 353 LK http://dx.doi.org/https://doi.org/10.1109/ICTC61510.2024.10601938 DO https://doi.org/10.1109/ICTC61510.2024.10601938 SF ELIB - SuUB Bremen
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