Zobrazeno 1 - 10
of 11 969
pro vyhledávání: '"Kale, P."'
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
Autor:
Mirashi, Aishwarya, Lingayat, Purva, Sonavane, Srushti, Padhiyar, Tejas, Joshi, Raviraj, Kale, Geetanjali
The rise of large transformer models has revolutionized Natural Language Processing, leading to significant advances in tasks like text classification. However, this progress demands substantial computational resources, escalating training duration,
Externí odkaz:
http://arxiv.org/abs/2409.14162
Visualizations play a critical role in validating and improving statistical models. However, the design space of model check visualizations is not well understood, making it difficult for authors to explore and specify effective graphical model check
Externí odkaz:
http://arxiv.org/abs/2408.16702
Labeling visual data is expensive and time-consuming. Crowdsourcing systems promise to enable highly parallelizable annotations through the participation of monetarily or otherwise motivated workers, but even this approach has its limits. The solutio
Externí odkaz:
http://arxiv.org/abs/2409.00048
Participatory budgeting (PB) is a democratic approach to allocating municipal spending that has been adopted in many places in recent years, including in Chicago. Current PB voting resembles a ballot where residents are asked which municipal projects
Externí odkaz:
http://arxiv.org/abs/2407.20103
Autor:
Khuntia, Abhilash, Kale, Shubham
The significance of emotion detection is increasing in education, entertainment, and various other domains. We are developing a system that can identify and transform facial expressions into emojis to provide immediate feedback.The project consists o
Externí odkaz:
http://arxiv.org/abs/2407.04560
This project focuses on creating a smart surveillance system for Indian cities that can identify and analyze people's attributes in real time. Using advanced technologies like artificial intelligence and machine learning, the system can recognize att
Externí odkaz:
http://arxiv.org/abs/2407.03305