Zobrazeno 1 - 10
of 518
pro vyhledávání: '"Alkhaled, A. A."'
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:
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
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
Autor:
Adewumi, Tosin, Alkhaled, Lama, Buck, Claudia, Hernandez, Sergio, Brilioth, Saga, Kekung, Mkpe, Ragimov, Yelvin, Barney, Elisa
We introduce a novel writing method called Probing Chain-of-Thought (ProCoT), which potentially prevents students from cheating using a Large Language Model (LLM), such as ChatGPT, while enhancing their active learning. LLMs have disrupted education
Externí odkaz:
http://arxiv.org/abs/2312.09801
Autor:
Wang, Jiayi, Adelani, David Ifeoluwa, Agrawal, Sweta, Masiak, Marek, Rei, Ricardo, Briakou, Eleftheria, Carpuat, Marine, He, Xuanli, Bourhim, Sofia, Bukula, Andiswa, Mohamed, Muhidin, Olatoye, Temitayo, Adewumi, Tosin, Mokayed, Hamam, Mwase, Christine, Kimotho, Wangui, Yuehgoh, Foutse, Aremu, Anuoluwapo, Ojo, Jessica, Muhammad, Shamsuddeen Hassan, Osei, Salomey, Omotayo, Abdul-Hakeem, Chukwuneke, Chiamaka, Ogayo, Perez, Hourrane, Oumaima, Anigri, Salma El, Ndolela, Lolwethu, Mangwana, Thabiso, Mohamed, Shafie Abdi, Hassan, Ayinde, Awoyomi, Oluwabusayo Olufunke, Alkhaled, Lama, Al-Azzawi, Sana, Etori, Naome A., Ochieng, Millicent, Siro, Clemencia, Njoroge, Samuel, Muchiri, Eric, Kimotho, Wangari, Momo, Lyse Naomi Wamba, Abolade, Daud, Ajao, Simbiat, Shode, Iyanuoluwa, Macharm, Ricky, Iro, Ruqayya Nasir, Abdullahi, Saheed S., Moore, Stephen E., Opoku, Bernard, Akinjobi, Zainab, Afolabi, Abeeb, Obiefuna, Nnaemeka, Ogbu, Onyekachi Raphael, Brian, Sam, Otiende, Verrah Akinyi, Mbonu, Chinedu Emmanuel, Sari, Sakayo Toadoum, Lu, Yao, Stenetorp, Pontus
Despite the recent progress on scaling multilingual machine translation (MT) to several under-resourced African languages, accurately measuring this progress remains challenging, since evaluation is often performed on n-gram matching metrics such as
Externí odkaz:
http://arxiv.org/abs/2311.09828
Autor:
Samar A. Fadhil, Mansoor J. Alkhaled
Publikováno v:
Iraqi Journal of Veterinary Sciences, Vol 38, Iss 4, Pp 831-837 (2024)
The current study was performed to identify Crithidia sp., a blood microparasite, in canines in Al-Qadisiyah Province and its regional districts. The study included collecting blood samples from the cephalic vein from 50 street and domesticated dogs.
Externí odkaz:
https://doaj.org/article/fbb10f72d9f54e21b028b3db7b8a7ac9
Weighing particles above MegaDalton mass range has been a persistent challenge in commercial mass spectrometry. Recently, nanoelectromechanical systems-based mass spectrometry (NEMS-MS) has shown remarkable performance in this mass range, especially
Externí odkaz:
http://arxiv.org/abs/2306.13227
Autor:
Mokayed, Hamam, Shivakumara, Palaiahnakote, Alkhaled, Lama, Saini, Rajkumar, Afzal, Muhammad Zeshan, Hum, Yan Chai, Liwicki, Marcus
Vehicle detection in real-time scenarios is challenging because of the time constraints and the presence of multiple types of vehicles with different speeds, shapes, structures, etc. This paper presents a new method relied on generating a confidence
Externí odkaz:
http://arxiv.org/abs/2304.14462