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pro vyhledávání: '"Alsagheer, Dana"'
Autor:
Alsagheer, Dana, Karanjai, Rabimba, Diallo, Nour, Shi, Weidong, Lu, Yang, Beydoun, Suha, Zhang, Qiaoning
This paper delves into the dynamic landscape of artificial intelligence, specifically focusing on the burgeoning prominence of large language models (LLMs). We underscore the pivotal role of Reinforcement Learning from Human Feedback (RLHF) in augmen
Externí odkaz:
http://arxiv.org/abs/2403.09798
Autor:
Amin, Md Hasibul, Madanu, Harika, Lavu, Sahithi, Mansourifar, Hadi, Alsagheer, Dana, Shi, Weidong
Since the beginning of the vaccination trial, social media has been flooded with anti-vaccination comments and conspiracy beliefs. As the day passes, the number of COVID- 19 cases increases, and online platforms and a few news portals entertain shari
Externí odkaz:
http://arxiv.org/abs/2211.13003
With the high prevalence of offensive language against minorities in social media, counter-hate speeches (CHS) generation is considered an automatic way of tackling this challenge. The CHS is supposed to appear as a third voice to educate people and
Externí odkaz:
http://arxiv.org/abs/2203.03584
With the rise of voice chat rooms, a gigantic resource of data can be exposed to the research community for natural language processing tasks. Moderators in voice chat rooms actively monitor the discussions and remove the participants with offensive
Externí odkaz:
http://arxiv.org/abs/2106.13238
Hate speech detection has become a hot topic in recent years due to the exponential growth of offensive language in social media. It has proven that, state-of-the-art hate speech classifiers are efficient only when tested on the data with the same fe
Externí odkaz:
http://arxiv.org/abs/2107.02024
Publikováno v:
In Procedia Computer Science 2023 220:1009-1014
Akademický článek
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