Zobrazeno 1 - 10
of 757
pro vyhledávání: '"Singh, Anjali"'
Autor:
Dammu, Preetam Prabhu Srikar, Jung, Hayoung, Singh, Anjali, Choudhury, Monojit, Mitra, Tanushree
Large language models (LLMs) have emerged as an integral part of modern societies, powering user-facing applications such as personal assistants and enterprise applications like recruitment tools. Despite their utility, research indicates that LLMs p
Externí odkaz:
http://arxiv.org/abs/2405.05378
Autor:
Singh, Anjali, Durand, Guillaume
Publikováno v:
Tutorials in Quantitative Methods for Psychology, Vol 18, Iss 1, Pp r1-r5 (2022)
This study is a replication of Andreassen and colleagues (2013) [The relationships between behavioral addictions and the five-factor model of personality. Journal of Behavioral Addictions, 2(2), 90-99]. We partially replicated the findings of the ori
Externí odkaz:
https://doaj.org/article/49dffad31c84465c89956af71c7e81d2
Autor:
Pandey, Rohit, Waghela, Hetvi, Rakshit, Sneha, Rangari, Aparna, Singh, Anjali, Kumar, Rahul, Ghosal, Ratnadeep, Sen, Jaydip
This work delved into the realm of automatic text generation, exploring a variety of techniques ranging from traditional deterministic approaches to more modern stochastic methods. Through analysis of greedy search, beam search, top-k sampling, top-p
Externí odkaz:
http://arxiv.org/abs/2404.01786
AI is about learning algorithms and huge amounts of data and are drivers of economic growth -- what does this mean for the field of development studies? Can we re-orient to twin AI studies and development theory and practice to generate how developme
Externí odkaz:
http://arxiv.org/abs/2312.10319
This paper explores the space of optimizing feedback mechanisms in complex domains, such as data science, by combining two prevailing approaches: Artificial Intelligence (AI) and learnersourcing. Towards addressing the challenges posed by each approa
Externí odkaz:
http://arxiv.org/abs/2311.12148
Autor:
Phung, Tung, Pădurean, Victor-Alexandru, Singh, Anjali, Brooks, Christopher, Cambronero, José, Gulwani, Sumit, Singla, Adish, Soares, Gustavo
Generative AI and large language models hold great promise in enhancing programming education by automatically generating individualized feedback for students. We investigate the role of generative AI models in providing human tutor-style programming
Externí odkaz:
http://arxiv.org/abs/2310.03780
Autor:
Singh, Anjali
Global supply chains have become increasingly complex and a critical source of competitive advantage, which makes the understanding of how supply chains create and distribute value an essential task. Prior literature on concentration risks has primar
Externí odkaz:
http://hdl.handle.net/10393/42495
Autor:
Yin, Dwight E., Palin, Amy C., Lombo, Tania B., Mahon, Robert N., III, Poon, Betty, Wu, Da-Yu, Atala, Anthony, Brooks, Kristina M., Chen, Shuibing, Coyne, Carolyn B., D’Souza, M. Patricia, Fackler, Oliver T., Furler O’Brien, Robert L., Garcia-de-Alba, Carolina, Jean-Philippe, Patrick, Karn, Jonathan, Majji, Sai, Muotri, Alysson R., Ozulumba, Tochukwu, Sakatis, Melanie Z., Schlesinger, Larry S., Singh, Anjali, Spiegel, Hans M.L., Struble, Evi, Sung, Kyung, Tagle, Danilo A., Thacker, Vivek V., Tidball, Andrew M., Varthakavi, Vasundhara, Vunjak-Novakovic, Gordana, Wagar, Lisa E., Yeung, Catherine K., Ndhlovu, Lishomwa C., Ott, Melanie
Publikováno v:
In Trends in Biotechnology May 2024 42(5):526-543
Autor:
Hill, Robert C., Wang, Zhen, Williams, Gordon D.Z., Polyak, Victor, Singh, Anjali, Kipp, Michael A., Asmerom, Yemane, Vengosh, Avner
Publikováno v:
In Chemical Geology 5 September 2024 662