Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Shandilya, Herumb"'
Autor:
Singh, Shivalika, Vargus, Freddie, Dsouza, Daniel, Karlsson, Börje F., Mahendiran, Abinaya, Ko, Wei-Yin, Shandilya, Herumb, Patel, Jay, Mataciunas, Deividas, OMahony, Laura, Zhang, Mike, Hettiarachchi, Ramith, Wilson, Joseph, Machado, Marina, Moura, Luisa Souza, Krzemiński, Dominik, Fadaei, Hakimeh, Ergün, Irem, Okoh, Ifeoma, Alaagib, Aisha, Mudannayake, Oshan, Alyafeai, Zaid, Chien, Vu Minh, Ruder, Sebastian, Guthikonda, Surya, Alghamdi, Emad A., Gehrmann, Sebastian, Muennighoff, Niklas, Bartolo, Max, Kreutzer, Julia, Üstün, Ahmet, Fadaee, Marzieh, Hooker, Sara
Datasets are foundational to many breakthroughs in modern artificial intelligence. Many recent achievements in the space of natural language processing (NLP) can be attributed to the finetuning of pre-trained models on a diverse set of tasks that ena
Externí odkaz:
http://arxiv.org/abs/2402.06619
Autor:
Leong, Colin, Shandilya, Herumb, Dossou, Bonaventure F. P., Tonja, Atnafu Lambebo, Mathew, Joel, Omotayo, Abdul-Hakeem, Yousuf, Oreen, Akinjobi, Zainab, Emezue, Chris Chinenye, Muhammad, Shamsudeen, Kolawole, Steven, Choi, Younwoo, Adewumi, Tosin
Many natural language processing (NLP) tasks make use of massively pre-trained language models, which are computationally expensive. However, access to high computational resources added to the issue of data scarcity of African languages constitutes
Externí odkaz:
http://arxiv.org/abs/2303.16985
Publikováno v:
In Artificial Intelligence, Machine Learning, and Mental Health in Pandemics 2022:277-298
Autor:
Agrawal, Shriyansh, Akila, C., Ali, Rashid, Bhattacharjee, Vandana, Bisht, Sankalp Singh, Chawla, Priyanka, Chopra, Meher, Dutt, Varun, Ganguly, Chirantan, Guglani, Arshpreet Singh, Gupta, Sarishty, Gupta, Anil Kumar, Gupta, Vaibhav, Jahan, Roshan, jain, Megha, Jain, Saurabh, Jain, Shikha, Jain, Veenus, Kaushik, Keshav, Kavitha, V., Kumar, Adarsh, Nanda, Aparajita, Nanta, Bharti, Nayak, Sagnik, Pandey, Dhiraj, Pandey, Kavita, Racherla, Akhila Sahiti, Rawat, Tara, Sahu, Raj, Shandilya, Herumb, Sharma, Kewal Krishna, Sharma, Neha, Skariah, Senu Mary, Sood, Rishik, Sriram, Degala, Syaputra, Reno Ardian, Tripathi, Manish Madhav, Tuteja, Sonal, Uttrani, Shashank, Varma, Hrishav
Publikováno v:
In Artificial Intelligence, Machine Learning, and Mental Health in Pandemics 2022:xi-xiii