Zobrazeno 1 - 10
of 4 873
pro vyhledávání: '"Adewumi A. A"'
Autor:
Chizoba B. Wonodi, Ikechukwu A. Okpe, Pius U. Angioha, Affiong S. Ebong, Janet B. Adegbola, Abdulrasheed A. Abdulraheem, Nwamaka Ezeanya, Adewumi A. Adetola, Oluwatosin I. Arogundade, Goodness I. Hadley, Joseph A. Olisa
Publikováno v:
Vaccines, Vol 12, Iss 10, p 1128 (2024)
Despite the availability of COVID-19 vaccines, Nigeria still faces significant COVID-19 vaccine hesitancy, with only 60.7% of the eligible population fully vaccinated as of 20 March 2023. Our study, part of a community-based effort to improve knowled
Externí odkaz:
https://doaj.org/article/1e3dc94828cd44cd8242378479b4d53b
The importance of addressing fairness and bias in artificial intelligence (AI) systems cannot be over-emphasized. Mainstream media has been awashed with news of incidents around stereotypes and other types of bias in many of these systems in recent y
Externí odkaz:
http://arxiv.org/abs/2406.19097
Autor:
Ogun, Sewade, Owodunni, Abraham T., Olatunji, Tobi, Alese, Eniola, Oladimeji, Babatunde, Afonja, Tejumade, Olaleye, Kayode, Etori, Naome A., Adewumi, Tosin
Recent advances in speech synthesis have enabled many useful applications like audio directions in Google Maps, screen readers, and automated content generation on platforms like TikTok. However, these systems are mostly dominated by voices sourced f
Externí odkaz:
http://arxiv.org/abs/2406.11727
Autor:
Pagliai, Irene, van Boven, Goya, Adewumi, Tosin, Alkhaled, Lama, Gurung, Namrata, Södergren, Isabella, Barney, Elisa
We introduce new large labeled datasets on bias in 3 languages and show in experiments that bias exists in all 10 datasets of 5 languages evaluated, including benchmark datasets on the English GLUE/SuperGLUE leaderboards. The 3 new languages give a t
Externí odkaz:
http://arxiv.org/abs/2404.04838
In this work, we provide insight into one important limitation of large language models (LLMs), i.e. false attribution, and introduce a new hallucination metric - Simple Hallucination Index (SHI). The task of automatic author attribution for relative
Externí odkaz:
http://arxiv.org/abs/2404.04631
We present insightful results of a survey on the adoption of generative artificial intelligence (GenAI) by university teachers in their teaching activities. The transformation of education by GenAI, particularly large language models (LLMs), has been
Externí odkaz:
http://arxiv.org/abs/2404.03486
Autor:
Nakamura, Taishi, Mishra, Mayank, Tedeschi, Simone, Chai, Yekun, Stillerman, Jason T, Friedrich, Felix, Yadav, Prateek, Laud, Tanmay, Chien, Vu Minh, Zhuo, Terry Yue, Misra, Diganta, Bogin, Ben, Vu, Xuan-Son, Karpinska, Marzena, Dantuluri, Arnav Varma, Kusa, Wojciech, Furlanello, Tommaso, Yokota, Rio, Muennighoff, Niklas, Pai, Suhas, Adewumi, Tosin, Laippala, Veronika, Yao, Xiaozhe, Junior, Adalberto, Ariyak, Alpay, Drozd, Aleksandr, Clive, Jordan, Gupta, Kshitij, Chen, Liangyu, Sun, Qi, Tsui, Ken, Persaud, Noah, Fahmy, Nour, Chen, Tianlong, Bansal, Mohit, Monti, Nicolo, Dang, Tai, Luo, Ziyang, Bui, Tien-Tung, Navigli, Roberto, Mehta, Virendra, Blumberg, Matthew, May, Victor, Nguyen, Huu, Pyysalo, Sampo
Pretrained language models underpin several AI applications, but their high computational cost for training limits accessibility. Initiatives such as BLOOM and StarCoder aim to democratize access to pretrained models for collaborative community devel
Externí odkaz:
http://arxiv.org/abs/2404.00399
All over the world, especially in the university environment, planning managers and traffic engineers are constantly faced with the problem of inadequate allocation of car parking spaces to demanded users. Users could either prefer reserved parking s
Externí odkaz:
http://arxiv.org/abs/2403.17597
Autor:
Mokayed, Hamam, Saini, Rajkumar, Adewumi, Oluwatosin, Alkhaled, Lama, Backe, Bjorn, Shivakumara, Palaiahnakote, Hagner, Olle, Hum, Yan Chai
This paper addresses the critical challenge of vehicle detection in the harsh winter conditions in the Nordic regions, characterized by heavy snowfall, reduced visibility, and low lighting. Due to their susceptibility to environmental distortions and
Externí odkaz:
http://arxiv.org/abs/2403.15017
We introduce Instruction Document Visual Question Answering (iDocVQA) dataset and Large Language Document (LLaDoc) model, for training Language-Vision (LV) models for document analysis and predictions on document images, respectively. Usually, deep n
Externí odkaz:
http://arxiv.org/abs/2402.00453