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1 Ergebnisse
1
LLMs Analyzing the Analysts: Do BERT and GPT Extract More V..:
, In:
Proceedings of the Fourth ACM International Conference on AI in Finance
,
Kim, Seonmi
;
Kim, Seyoung
;
Kim, Yejin
... - p. 383-391 , 2023
Link:
https://dl.acm.org/doi/10.1145/3604237.3627721
RT T1 <cTitle>Proceedings of the Fourth ACM International Conference on AI in Finance</cTitle>: T1 <Title>LLMs Analyzing the Analysts: Do BERT and GPT Extract More Value from Financial Analyst Reports?</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3627721&Exemplar=1&LAN=DE A1 Kim, Seonmi A1 Kim, Seyoung A1 Kim, Yejin A1 Park, Junpyo A1 Kim, Seongjin A1 Kim, Moolkyeol A1 Sung, Chang Hwan A1 Hong, Joohwan A1 Lee, Yongjae PB ACM YR 2023 K1 Information systems K1 Computing methodologies K1 Applied computing K1 Information systems applications K1 Artificial intelligence K1 Machine learning K1 Natural language processing K1 Information retrieval K1 Retrieval tasks and goals K1 Sentiment analysis K1 Language resources SP 383 OP 391 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3604237.3627721 DO https://dl.acm.org/doi/10.1145/3604237.3627721 SF ELIB - SuUB Bremen
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