Zobrazeno 1 - 10
of 58 151
pro vyhledávání: '"A A Shetty"'
Autor:
Aswani, Seema, Shetty, Sujala D.
Explainable AI (XAI) techniques for text summarization provide valuable understanding of how the summaries are generated. Recent studies have highlighted a major challenge in this area, known as the disagreement problem. This problem occurs when diff
Externí odkaz:
http://arxiv.org/abs/2410.18560
Autor:
Zmigrod, Ran, Shetty, Pranav, Sibue, Mathieu, Ma, Zhiqiang, Nourbakhsh, Armineh, Liu, Xiaomo, Veloso, Manuela
The rise of large language models (LLMs) for visually rich document understanding (VRDU) has kindled a need for prompt-response, document-based datasets. As annotating new datasets from scratch is labor-intensive, the existing literature has generate
Externí odkaz:
http://arxiv.org/abs/2410.15484
Autor:
Amin, Al, Hasan, Kamrul, Zein-Sabatto, Saleh, Hong, Liang, Shetty, Sachin, Ahmed, Imtiaz, Islam, Tariqul
Healthcare industries face challenges when experiencing rare diseases due to limited samples. Artificial Intelligence (AI) communities overcome this situation to create synthetic data which is an ethical and privacy issue in the medical domain. This
Externí odkaz:
http://arxiv.org/abs/2410.12245
Contact-rich manipulation plays an important role in human daily activities, but uncertain parameters pose significant challenges for robots to achieve comparable performance through planning and control. To address this issue, domain adaptation and
Externí odkaz:
http://arxiv.org/abs/2410.11600
Autor:
Kapoor, K., Hoseini, S., Choi, J., Nussbaum, B. E., Zhang, Y., Shetty, K., Skaar, C., Ward, M., Wilson, L., Shinbrough, K., Edwards, E., Wiltfong, R., Lualdi, C. P., Cohen, Offir, Kwiat, P. G., Lorenz, V. O.
We present a quantum network that distributes entangled photons between the University of Illinois Urbana-Champaign and a public library in Urbana. The network allows members of the public to perform measurements on the photons. We describe its desig
Externí odkaz:
http://arxiv.org/abs/2410.06398
Autor:
Daswani, Mayank, Bellaiche, Mathias M. J., Wilson, Marc, Ivanov, Desislav, Papkov, Mikhail, Schnider, Eva, Tang, Jing, Lamerigts, Kay, Botea, Gabriela, Sanchez, Michael A., Patel, Yojan, Prabhakara, Shruthi, Shetty, Shravya, Telang, Umesh
While multimodal foundation models can now natively work with data beyond text, they remain underutilized in analyzing the considerable amounts of multi-dimensional time-series data in fields like healthcare, finance, and social sciences, representin
Externí odkaz:
http://arxiv.org/abs/2410.02637
Autor:
Srivastava, Nikit, Kuchelev, Denis, Ngoli, Tatiana Moteu, Shetty, Kshitij, Röder, Michael, Moussallem, Diego, Zahera, Hamada, Ngomo, Axel-Cyrille Ngonga
This paper presents LOLA, a massively multilingual large language model trained on more than 160 languages using a sparse Mixture-of-Experts Transformer architecture. Our architectural and implementation choices address the challenge of harnessing li
Externí odkaz:
http://arxiv.org/abs/2409.11272
Autor:
Mitra, Richa, Iordanidou, Konstantina, Shetty, Naveen, Hoque, Md Anamul, Datta, Anushree, Kalaboukhov, Alexei, Wiktor, Julia, Kubatkin, Sergey, Dash, Saroj Prasad, Lara-Avila, Samuel
Two-dimensional (2D) semiconductors have emerged as leading candidates for the development of low-power and multifunctional computing applications, thanks to their qualities such as layer-dependent band gap tunability, high carrier mobility, and exce
Externí odkaz:
http://arxiv.org/abs/2409.04908
Autor:
Trella, Anna L., Zhang, Kelly W., Jajal, Hinal, Nahum-Shani, Inbal, Shetty, Vivek, Doshi-Velez, Finale, Murphy, Susan A.
Dental disease is a prevalent chronic condition associated with substantial financial burden, personal suffering, and increased risk of systemic diseases. Despite widespread recommendations for twice-daily tooth brushing, adherence to recommended ora
Externí odkaz:
http://arxiv.org/abs/2409.02069
Autor:
Trella, Anna L., Ghosh, Susobhan, Bonar, Erin E., Coughlin, Lara, Doshi-Velez, Finale, Guo, Yongyi, Hung, Pei-Yao, Nahum-Shani, Inbal, Shetty, Vivek, Walton, Maureen, Yan, Iris, Zhang, Kelly W., Murphy, Susan A.
Online AI decision-making algorithms are increasingly used by digital interventions to dynamically personalize treatment to individuals. These algorithms determine, in real-time, the delivery of treatment based on accruing data. The objective of this
Externí odkaz:
http://arxiv.org/abs/2409.10526