Zobrazeno 1 - 10
of 7 505
pro vyhledávání: '"P. Zara"'
Autor:
Cassettari, D., Marchukov, O. V., Carruthers, B., Kendell, H., Ruhl, J., Pierre, B. De Mitchell, Zara, C., Weidner, C. A., Trombettoni, A., Olshanii, M., Mussardo, G.
In this paper we study transitions of atoms between energy levels of several number-theory-inspired atom potentials, under the effect of time-dependent perturbations. First, we simulate in detail the case of a trap whose one-particle spectrum is give
Externí odkaz:
http://arxiv.org/abs/2410.13988
In this study, we examined the impact of recommendation systems' algorithms on individuals' collaborator choices when forming teams. Different algorithmic designs can lead individuals to select one collaborator over another, thereby shaping their tea
Externí odkaz:
http://arxiv.org/abs/2410.00346
Autor:
Lisbon, Zara
In the rapidly evolving landscape of digital assets, the imperative for robust data privacy and compliance with regulatory frameworks has intensified. This paper investigates the critical role of Graph Neural Networks (GNNs) in the management of digi
Externí odkaz:
http://arxiv.org/abs/2409.18455
Autor:
Chiang, Charles, Gomez-Zara, Diego
With the prevalence of instant messaging and social media platforms, emojis have become important artifacts for expressing emotions and feelings in our daily lives. We ask how HCI researchers have examined the role and evolution of emojis in sharing
Externí odkaz:
http://arxiv.org/abs/2409.17322
This paper introduces VIVRA (Voice Interactive Virtual Reality Annotation), a VR application combining multimodal interaction with large language models (LLMs) to transform users' ideas into interactive 3D visualizations. VIVRA converts verbalized th
Externí odkaz:
http://arxiv.org/abs/2409.15033
Autor:
Smart, Andrew, Hutchinson, Ben, Amugongo, Lameck Mbangula, Dikker, Suzanne, Zito, Alex, Ebinama, Amber, Wudiri, Zara, Wang, Ding, van Liemt, Erin, Sedoc, João, Olojo, Seyi, Uwakwe, Stanley, Wornyo, Edem, Schmer-Galunder, Sonja, Smith-Loud, Jamila
Publikováno v:
ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization, 2024
Large Language Models (LLMs) have rapidly increased in size and apparent capabilities in the last three years, but their training data is largely English text. There is growing interest in multilingual LLMs, and various efforts are striving for model
Externí odkaz:
http://arxiv.org/abs/2409.05247
Autor:
Bosetti, Massimo, Zhang, Shibingfeng, Liberatori, Benedetta, Zara, Giacomo, Ricci, Elisa, Rota, Paolo
Vision-language models (VLMs) have demonstrated remarkable performance across various visual tasks, leveraging joint learning of visual and textual representations. While these models excel in zero-shot image tasks, their application to zero-shot vid
Externí odkaz:
http://arxiv.org/abs/2408.16412
Autor:
Kemp, Alex J., Karakas, Amanda I., Casey, Andrew R., Cote, Benoit, Izzard, Robert G., Osborn, Zara
Context. The explosive burning that drives nova eruptions results in unique nucleosynthesis that heavily over-produces certain isotopes relative to the solar abundance. However, novae are often ignored when considering the chemical evolution of our G
Externí odkaz:
http://arxiv.org/abs/2407.18718
Large language models (LLMs) have been shown to propagate and amplify harmful stereotypes, particularly those that disproportionately affect marginalised communities. To understand the effect of these stereotypes more comprehensively, we introduce Gl
Externí odkaz:
http://arxiv.org/abs/2407.06917
Autor:
Trella, Anna L., Zhang, Kelly W., Carpenter, Stephanie M., Elashoff, David, Greer, Zara M., Nahum-Shani, Inbal, Ruenger, Dennis, Shetty, Vivek, Murphy, Susan A.
Dental disease is still one of the most common chronic diseases in the United States. While dental disease is preventable through healthy oral self-care behaviors (OSCB), this basic behavior is not consistently practiced. We have developed Oralytics,
Externí odkaz:
http://arxiv.org/abs/2406.13127