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Akademický článek
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Publikováno v:
東アジア文化交渉研究 = Journal of East Asian cultural interaction studies. 14:389-401
After the "Zhouyicantongqi (周易参同契)" was introduced to the Korean Peninsula, it received a lot of attention especially in the Joseon Dynasty. There have also been many comments on the content and thoughts of the "Zhouyicantongqi". Among them
Understanding the internal computations of large language models (LLMs) is crucial for aligning them with human values and preventing undesirable behaviors like toxic content generation. However, mechanistic interpretability is hindered by polysemant
Externí odkaz:
http://arxiv.org/abs/2412.04139
The gauge singlet right-handed neutrinos are one of the essential fields in neutrino mass models that explain tiny masses of active neutrinos. We consider the effective field theory of the Standard Model extended with these fields under the assumptio
Externí odkaz:
http://arxiv.org/abs/2411.17414
Publikováno v:
EMNLP 2024
A critical component of the current generation of language models is preference alignment, which aims to precisely control the model's behavior to meet human needs and values. The most notable among such methods is Reinforcement Learning with Human F
Externí odkaz:
http://arxiv.org/abs/2410.15096
Akademický článek
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Recent advances in large language models (LLMs) have significantly impacted the domain of multi-hop question answering (MHQA), where systems are required to aggregate information and infer answers from disparate pieces of text. However, the autoregre
Externí odkaz:
http://arxiv.org/abs/2409.19382
Autor:
Choi, Yunseon, Bae, Sangmin, Ban, Seonghyun, Jeong, Minchan, Zhang, Chuheng, Song, Lei, Zhao, Li, Bian, Jiang, Kim, Kee-Eung
With the advent of foundation models, prompt tuning has positioned itself as an important technique for directing model behaviors and eliciting desired responses. Prompt tuning regards selecting appropriate keywords included into the input, thereby a
Externí odkaz:
http://arxiv.org/abs/2407.14733
Autor:
Mueller, Ruth
Publikováno v:
Ethnomusicology, 2020 Jul 01. 64(2), 347-358.
Visual Speech Recognition (VSR) stands at the intersection of computer vision and speech recognition, aiming to interpret spoken content from visual cues. A prominent challenge in VSR is the presence of homophenes-visually similar lip gestures that r
Externí odkaz:
http://arxiv.org/abs/2406.12233