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pro vyhledávání: '"Takayanagi, Takehiro"'
In the post-Turing era, evaluating large language models (LLMs) involves assessing generated text based on readers' reactions rather than merely its indistinguishability from human-produced content. This paper explores how LLM-generated text impacts
Externí odkaz:
http://arxiv.org/abs/2409.16710
Stock embedding is a method for vector representation of stocks. There is a growing demand for vector representations of stock, i.e., stock embedding, in wealth management sectors, and the method has been applied to various tasks such as stock price
Externí odkaz:
http://arxiv.org/abs/2408.02899
Causality is fundamental in human cognition and has drawn attention in diverse research fields. With growing volumes of textual data, discerning causalities within text data is crucial, and causal text mining plays a pivotal role in extracting meanin
Externí odkaz:
http://arxiv.org/abs/2402.14484
Autor:
Takayanagi, Takehiro, Izumi, Kiyoshi
Publikováno v:
New Generation Computing; Nov2024, Vol. 42 Issue 4, p635-649, 15p
Autor:
Ishikawa, Akimasa, Arai, Yasuo, Baudot, Jérôme, Haba, Junji, Kachel, Maciej, Kurachi, Ikuo, Li, Taohan, Ono, Shun, Takayanagi, Takehiro, Takeda, Ayaki, Tsuboyama, Toru, Yamada, Miho
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A 21 October 2020 978
Akademický článek
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