Zobrazeno 1 - 10
of 11 695
pro vyhledávání: '"Kale, A. P."'
Autor:
Chitty-Venkata, Krishna Teja, Raskar, Siddhisanket, Kale, Bharat, Ferdaus, Farah, Tanikanti, Aditya, Raffenetti, Ken, Taylor, Valerie, Emani, Murali, Vishwanath, Venkatram
Large Language Models (LLMs) have propelled groundbreaking advancements across several domains and are commonly used for text generation applications. However, the computational demands of these complex models pose significant challenges, requiring e
Externí odkaz:
http://arxiv.org/abs/2411.00136
Autor:
Clock, International, Networking, Oscillator, Collaboration, Amy-Klein, Anne, Benkler, Erik, Blondé, Pascal, Bongs, Kai, Cantin, Etienne, Chardonnet, Christian, Denker, Heiner, Dörscher, Sören, Feng, Chen-Hao, Gaudron, Jacques-Olivier, Gill, Patrick, Hill, Ian R, Huang, Wei, Johnson, Matthew Y H, Kale, Yogeshwar B, Katori, Hidetoshi, Klose, Joshua, Kronjäger, Jochen, Kuhl, Alexander, Targat, Rodolphe Le, Lisdat, Christian, Lopez, Olivier, Lücke, Tim, Mazouth, Maxime, Mukherjee, Shambo, Nosske, Ingo, Pointard, Benjamin, Pottie, Paul-Eric, Schioppo, Marco, Singh, Yeshpal, Stahl, Kilian, Takamoto, Masao, Tønnes, Mads, Tunesi, Jacob, Ushijima, Ichiro, Vishwakarma, Chetan
Optical clocks have improved their frequency stability and estimated accuracy by more than two orders of magnitude over the best caesium microwave clocks that realise the SI second. Accordingly, an optical redefinition of the second has been widely d
Externí odkaz:
http://arxiv.org/abs/2410.22973
Large language models have drastically changed the prospects of AI by introducing technologies for more complex natural language processing. However, current methodologies to train such LLMs require extensive resources including but not limited to la
Externí odkaz:
http://arxiv.org/abs/2410.21548
Autor:
Deshmukh, Pranita, Kulkarni, Nikita, Kulkarni, Sanhita, Manghani, Kareena, Kale, Geetanjali, Joshi, Raviraj
The demand for sophisticated natural language processing (NLP) methods, particularly Named Entity Recognition (NER), has increased due to the exponential growth of Marathi-language digital content. In particular, NER is essential for recognizing dist
Externí odkaz:
http://arxiv.org/abs/2410.09192
Autor:
Pham, Phu, Zhao, Wentian, Wan, Kun, Li, Yu-Jhe, Zhang, Zeliang, Miranda, Daniel, Kale, Ajinkya, Xu, Chenliang
In the past year, the capabilities of Multimodal Large Language Models (MLLMs) have significantly improved across various aspects. However, constrained by the quadratic growth of computation in LLMs as the number of tokens increases, efficiency has b
Externí odkaz:
http://arxiv.org/abs/2410.06169
This work proposes a secure and dynamic VM allocation strategy for multi-tenant distributed systems using the Thompson sampling approach. The method proves more effective and secure compared to epsilon-greedy and upper confidence bound methods, showi
Externí odkaz:
http://arxiv.org/abs/2410.04363
Autor:
Thaker, Pratiksha, Hu, Shengyuan, Kale, Neil, Maurya, Yash, Wu, Zhiwei Steven, Smith, Virginia
Unlearning methods have the potential to improve the privacy and safety of large language models (LLMs) by removing sensitive or harmful information post hoc. The LLM unlearning research community has increasingly turned toward empirical benchmarks t
Externí odkaz:
http://arxiv.org/abs/2410.02879
Autor:
Santra, Ramananda, Kale, Ruta, Giacintucci, Simona, Wik, Daniel. R., Venturi, Tiziana, Dallacasa, Daniele, Cassano, Rossella, Brunetti, Gianfranco, Joshi, Deepak Chandra
We present the first multi-frequency analysis of the candidate ultra-steep spectrum radio halo in the galaxy cluster PLCKESZ G171.94$-$40.65, using the upgraded Giant Metrewave Radio telescope (uGMRT; 400 MHz), and Karl G. Jansky Very Large Array (JV
Externí odkaz:
http://arxiv.org/abs/2409.18075
Autor:
Patil, Rajlaxmi, Kulkarni, Aditya Ashutosh, Ghatage, Ruturaj, Endait, Sharvi, Kale, Geetanjali, Joshi, Raviraj
In the domain of education, the integration of,technology has led to a transformative era, reshaping traditional,learning paradigms. Central to this evolution is the automation,of grading processes, particularly within the STEM domain encompassing Sc
Externí odkaz:
http://arxiv.org/abs/2409.15749
In this work, we explore dark energy models, mainly ghost, generalized ghost, and generalized ghost pilgrim dark energy models within the framework of fractal cosmology. To obtain solutions for the field equations, we employ a parameterization of the
Externí odkaz:
http://arxiv.org/abs/2409.14171