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of 148
pro vyhledávání: '"Choi, Jihun"'
Autor:
Choi, Donghee, Gim, Mogan, Park, Donghyeon, Sung, Mujeen, Kim, Hyunjae, Kang, Jaewoo, Choi, Jihun
Publikováno v:
LREC-COLING 2024
This paper introduces CookingSense, a descriptive collection of knowledge assertions in the culinary domain extracted from various sources, including web data, scientific papers, and recipes, from which knowledge covering a broad range of aspects is
Externí odkaz:
http://arxiv.org/abs/2405.00523
The successful adaptation of multilingual language models (LMs) to a specific language-task pair critically depends on the availability of data tailored for that condition. While cross-lingual transfer (XLT) methods have contributed to addressing thi
Externí odkaz:
http://arxiv.org/abs/2402.13562
Autor:
Gim, Mogan, Choi, Donghee, Maruyama, Kana, Choi, Jihun, Kim, Hajung, Park, Donghyeon, Kang, Jaewoo
We propose a computational approach for recipe ideation, a downstream task that helps users select and gather ingredients for creating dishes. To perform this task, we developed RecipeMind, a food affinity score prediction model that quantifies the s
Externí odkaz:
http://arxiv.org/abs/2210.10628
Publikováno v:
In Technovation August 2024 136
Publikováno v:
Scientific Reports. 5/11/2024, Vol. 14 Issue 1, p1-6. 6p.
Autor:
Choi, Jihun, Jung, Eui-Jin, Park, Dong-Jae, Kim, Hyung-Woo, Huh, Joo-Youl, Kim, Tae-Chul, Kim, Myung-Soo
Publikováno v:
In Surface & Coatings Technology 30 July 2024 488
Publikováno v:
In Journal of Materials Research and Technology July-August 2024 31:2376-2387
Publikováno v:
In Journal of Cleaner Production 5 January 2024 435
With the recent success and popularity of pre-trained language models (LMs) in natural language processing, there has been a rise in efforts to understand their inner workings. In line with such interest, we propose a novel method that assists us in
Externí odkaz:
http://arxiv.org/abs/2002.00737
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