Zobrazeno 1 - 10
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pro vyhledávání: '"Hooda P"'
Optimization methods are widely employed in deep learning to identify and mitigate undesired model responses. While gradient-based techniques have proven effective for image models, their application to language models is hindered by the discrete nat
Externí odkaz:
http://arxiv.org/abs/2410.04234
This technical report presents a stochastic model for pricing weather derivatives and devising hedging strategies tailored to Indian markets. We model temperature dynamics using a modified Ornstein-Uhlenbeck process with jumps to account for sudden s
Externí odkaz:
http://arxiv.org/abs/2409.04541
Privacy policies are crucial in the online ecosystem, defining how services handle user data and adhere to regulations such as GDPR and CCPA. However, their complexity and frequent updates often make them difficult for stakeholders to understand and
Externí odkaz:
http://arxiv.org/abs/2408.14830
Computer vision systems have been deployed in various applications involving biometrics like human faces. These systems can identify social media users, search for missing persons, and verify identity of individuals. While computer vision models are
Externí odkaz:
http://arxiv.org/abs/2407.13922
Autor:
Mangaokar, Neal, Hooda, Ashish, Choi, Jihye, Chandrashekaran, Shreyas, Fawaz, Kassem, Jha, Somesh, Prakash, Atul
Large language models (LLMs) are typically aligned to be harmless to humans. Unfortunately, recent work has shown that such models are susceptible to automated jailbreak attacks that induce them to generate harmful content. More recent LLMs often inc
Externí odkaz:
http://arxiv.org/abs/2402.15911
Autor:
Hooda, Ashish, Christodorescu, Mihai, Allamanis, Miltiadis, Wilson, Aaron, Fawaz, Kassem, Jha, Somesh
Large Language Models' success on text generation has also made them better at code generation and coding tasks. While a lot of work has demonstrated their remarkable performance on tasks such as code completion and editing, it is still unclear as to
Externí odkaz:
http://arxiv.org/abs/2402.05980
Publikováno v:
Phys. Rev. B 107, 085137 (2023)
We grew needle-shaped single crystals of GdAgGe, which crystallizes in a noncentrosymmetric hexagonal crystal structure with space group P$\overline{6}$2$m$ (189). The magnetic susceptibility data for $H \perp c$ reveal two pronounced antiferromagnet
Externí odkaz:
http://arxiv.org/abs/2401.15464
Publikováno v:
Phys. Rev. B 108, 235107, (2023)
We report the physical properties of GdAuGe single crystals, which were grown using Bi flux. The powder x-ray diffraction data shows that the compound crystallizes in hexagonal NdPtSb-type structure (space group P63mc). Magnetization measurements per
Externí odkaz:
http://arxiv.org/abs/2312.10352
Autor:
Hooda, M. K., Chakraborty, A., Roy, S., Swami, R., Agarwal, A., Mandal, P., Sarangi, S. N., Samal, D., Awana, V. P. S., Hossain, Z.
We report a comprehensive study on the electronic transport properties of SrZn2Ge2 single crystals. The electrical resistivity of the compound exhibits metallic behavior, following a T^2 dependence below 35 K, consistent with the Fermi liquid behavio
Externí odkaz:
http://arxiv.org/abs/2310.10621
Autor:
Ashok Kumar Balhara, Mustafa Hasan Jan, Ekta Hooda, Krishan Kumar, Amandeep Ghanghas, Suman Sangwan, Sunesh Balhara, SK Phulia, Sarita Yadav, Ashok Boora, Sanjay Kumar, Sajjan Singh, TK Datta
Publikováno v:
Italian Journal of Animal Science, Vol 23, Iss 1, Pp 834-841 (2024)
Rectal thermometers are commonly used to assess animal health, but non-invasive methods like thermal imaging are gaining popularity for their ease. This study explores using infra-red thermography to measure eye temperatures as a proxy for body tempe
Externí odkaz:
https://doaj.org/article/ab4ca7f3973f4534982c58ed56090ed4