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pro vyhledávání: '"Malandri, Lorenzo"'
In this survey, we address the key challenges in Large Language Models (LLM) research, focusing on the importance of interpretability. Driven by increasing interest from AI and business sectors, we highlight the need for transparency in LLMs. We exam
Externí odkaz:
http://arxiv.org/abs/2407.15248
Autor:
Xu, Weijie, Huang, Zicheng, Hu, Wenxiang, Fang, Xi, Cherukuri, Rajesh Kumar, Nayyar, Naumaan, Malandri, Lorenzo, Sengamedu, Srinivasan H.
Publikováno v:
EACL 2024
Recent advancements in Large Language Models (LLMs) have been reshaping Natural Language Processing (NLP) task in several domains. Their use in the field of Human Resources (HR) has still room for expansions and could be beneficial for several time c
Externí odkaz:
http://arxiv.org/abs/2402.01018
Publikováno v:
In Decision Support Systems January 2024 176
Publikováno v:
In Information Processing and Management January 2023 60(1)
Akademický článek
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Along with the advance of opinion mining techniques, public mood has been found to be a key element for stock market prediction. However, how market participants' behavior is affected by public mood has been rarely discussed. Consequently, there has
Externí odkaz:
http://arxiv.org/abs/1802.09911
Autor:
Castelnovo, Alessandro, Cosentini, Andrea, Malandri, Lorenzo, Mercorio, Fabio, Mezzanzanica, Mario
Publikováno v:
In Information Processing and Management November 2022 59(6)
Publikováno v:
In Computers in Industry June 2022 138
Publikováno v:
In Information Fusion May 2022 81:103-115
Publikováno v:
In Knowledge-Based Systems 15 March 2022 240