Zobrazeno 1 - 10
of 11 457
pro vyhledávání: '"A. Roshni"'
Autor:
Joshi, Ratnesh Kumar, Priya, Priyanshu, Desai, Vishesh, Dudhate, Saurav, Senapati, Siddhant, Ekbal, Asif, Ramnani, Roshni, Maitra, Anutosh, Sengupta, Shubhashis
Given the advancements in conversational artificial intelligence, the evaluation and assessment of Large Language Models (LLMs) play a crucial role in ensuring optimal performance across various conversational tasks. In this paper, we present a compr
Externí odkaz:
http://arxiv.org/abs/2411.17204
Investigating the microscopic details of the proximity effect is crucial for both key experimental applications and fundamental inquiries into nanoscale devices featuring superconducting elements. In this work, we develop a framework motivated by exp
Externí odkaz:
http://arxiv.org/abs/2411.12733
It is largely agreed that social network links are formed due to either homophily or social influence. Inspired by this, we aim at understanding the generation of links via providing a novel embedding-based graph formation model. Different from exist
Externí odkaz:
http://arxiv.org/abs/2411.04876
Publikováno v:
Modern Physics Letters A Vol. 38, Nos. 22 & 23 (2023) 2350109 (15 pages)
In the background of homogeneous and isotropic flat FLRW space-time, both classical and quantum cosmology has been studied for teleparallel dark energy (DE) model. Using Noether symmetry analysis, not only the symmetry vector but also the coupling fu
Externí odkaz:
http://arxiv.org/abs/2407.08217
Publikováno v:
International Journal of Modern Physics A Vol. 38, Nos. 12 & 13 (2023) 2350064 (14 pages)
The present work deals with Einstein-aether Scalar tensor gravity in the background of homogeneous and isotropic flat FLRW space-time model. The Noether symmetry vector identifies a transformation in the augmented space so that the field equations be
Externí odkaz:
http://arxiv.org/abs/2407.08207
In recent years, the proliferation of misinformation on social media platforms has become a significant concern. Initially designed for sharing information and fostering social connections, platforms like Twitter (now rebranded as X) have also unfort
Externí odkaz:
http://arxiv.org/abs/2406.12444
Autor:
Le, Khiem, Guo, Zhichun, Dong, Kaiwen, Huang, Xiaobao, Nan, Bozhao, Iyer, Roshni, Zhang, Xiangliang, Wiest, Olaf, Wang, Wei, Chawla, Nitesh V.
Large Language Models (LLMs) with their strong task-handling capabilities have shown remarkable advancements across a spectrum of fields, moving beyond natural language understanding. However, their proficiency within the chemistry domain remains res
Externí odkaz:
http://arxiv.org/abs/2406.06777
Online social media platforms, such as Twitter, provide valuable information during disaster events. Existing tweet disaster summarization approaches provide a summary of these events to aid government agencies, humanitarian organizations, etc., to e
Externí odkaz:
http://arxiv.org/abs/2405.06551
The abundance of situational information on Twitter poses a challenge for users to manually discern vital and relevant information during disasters. A concise and human-interpretable overview of this information helps decision-makers in implementing
Externí odkaz:
http://arxiv.org/abs/2405.06541
Optimal decision-making is key to efficient allocation and scheduling of repair resources (e.g., crews) to service affected nodes of large power grid networks. Traditional manual restoration methods are inadequate for modern smart grids sprawling acr
Externí odkaz:
http://arxiv.org/abs/2404.13422