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pro vyhledávání: '"Kumar, Animesh"'
The opacity in developing large language models (LLMs) is raising growing concerns about the potential contamination of public benchmarks in the pre-training data. Existing contamination detection methods are typically based on the text overlap betwe
Externí odkaz:
http://arxiv.org/abs/2406.13236
Autor:
Gao, Xiaochen Kev, Yao, Feng, Zhao, Kewen, He, Beilei, Kumar, Animesh, Krishnan, Vish, Shang, Jingbo
Model scaling is becoming the default choice for many language tasks due to the success of large language models (LLMs). However, it can fall short in specific scenarios where simple customized methods excel. In this paper, we delve into the patent a
Externí odkaz:
http://arxiv.org/abs/2404.14372
Autor:
Gupta, Shikha, Kumar, Animesh
Heretofore, the only way to evaluate an author has been frequency-based citation metrics that assume citations to be of a neutral sentiment. However, considering the sentiment behind citations aids in a better understanding of the viewpoints of fello
Externí odkaz:
http://arxiv.org/abs/2403.08176
Autor:
Singh, Ashish Kumar, Das, Antara, Kumar, Kuldeep, Joshi, Ila, Kumar, Manish, Kohli, Deshika, Koulagi, Ramanna, Kumar, Animesh, Gaikwad, Kishor, Jain, Pradeep Kumar, Sirohi, Anil
Publikováno v:
In Physiological and Molecular Plant Pathology September 2024 133
Autor:
Goyal, Mohak, Kumar, Animesh
In this paper, we present two variations of an algorithm for signal reconstruction from one-bit or two-bit noisy observations of the discrete Fourier transform (DFT). The one-bit observations of the DFT correspond to the sign of its real part, wherea
Externí odkaz:
http://arxiv.org/abs/2201.03114
Autor:
Kumar, Animesh1, Goyal, Anjana2 goyalanjana17@gmail.com, Choudhary, Anushka2, Varghese, Anila Maria2, Balhara, Anju2, Bano, Afsana2, Kumar, Hemant2, Khan, Alishba Zainab2
Publikováno v:
Indian Journal of Health & Wellbeing. Jun2024, Vol. 15 Issue 2, p226-229. 4p.
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Akademický článek
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Autor:
Anavangot, Vijay, Kumar, Animesh
Many modern distributed real-time signal sensing/monitoring systems require quantization for efficient signal representation. These distributed sensors often have inherent computational and energy limitations. Motivated by this concern, we propose a
Externí odkaz:
http://arxiv.org/abs/1810.12189
Autor:
Anavangot, Vijay, Kumar, Animesh
Analytics will be a part of the upcoming smart city and Internet of Things (IoT). The focus of this work is approximate distributed signal analytics. It is envisaged that distributed IoT devices will record signals, which may be of interest to the Io
Externí odkaz:
http://arxiv.org/abs/1805.08521