Zobrazeno 1 - 10
of 307 180
pro vyhledávání: '"A Krishna"'
Autor:
Abhilash Naini, Aakula Suguna Sree, Abhishek Venkata Nouduri, Sai Subrahmanyam Pappu, A Krishna Prasad
Publikováno v:
Journal of Clinical and Scientific Research, Vol 12, Iss 5, Pp 80-82 (2023)
A 44-year-old female with no prior comorbidities presented with a history of easy fatiguability and yellowish discolouration of eyes of 3 months duration. On examination, she had pallor and icterus. Jugular venous pressure was elevated. Earlier, the
Externí odkaz:
https://doaj.org/article/a0e44d3d16494e0bba9bc32b65dce250
Autor:
Krishna, Satyapriya, Krishna, Kalpesh, Mohananey, Anhad, Schwarcz, Steven, Stambler, Adam, Upadhyay, Shyam, Faruqui, Manaal
Large Language Models (LLMs) have demonstrated significant performance improvements across various cognitive tasks. An emerging application is using LLMs to enhance retrieval-augmented generation (RAG) capabilities. These systems require LLMs to unde
Externí odkaz:
http://arxiv.org/abs/2409.12941
Modern deep learning continues to achieve outstanding performance on an astounding variety of high-dimensional tasks. In practice, this is obtained by fitting deep neural models to all the input data with minimal feature engineering, thus sacrificing
Externí odkaz:
http://arxiv.org/abs/2408.10693
Autor:
Addesa, F., Anderson, T., Barria, P., Basile, C., Benaglia, A., Bertoni, R., Bethani, A., Bianco, R., Bornheim, A., Boldrini, G., Boletti, A., Bulla, A., Campana, M., Cardwell, B., Carniti, P., Cetorelli, F., De Guio, F., De Leo, K., De Riggi, F., Dervan, J., Fernandez, E., Gaile, A., Gallinaro, M., Ghezzi, A., Gotti, C., Goldouzian, R., Guglielmi, V., Heering, A., Hu, Z., Jose, M., Karneyeu, A., Krishna, A., Kronheim, B., Kuo, C., La Torre, A., Li, A., Lombardi, F., Lucchini, M. T., Malberti, M., Mao, Y., Marzocchi, B., Meridiani, P., Musienko, Y., Neu, C., Organtini, G., Orimoto, T., Palmer, C., Paganoni, M., Palluotto, S., Paramatti, R., Pessina, G., Perelman, R. T., Quaranta, C., Redaelli, N., Redaelli, S., Gutiérrez, G. Reales, Ronchi, S., Santanastasio, F., Schmidt, I., Silva, J. C., Sorrentino, G., Sun, X., de Fatis, T. Tabarelli, Tosi, M., Ujvari, B., Varela, J., Wang, J., Wayne, M., White, S., Zhang, L., Zhang, M.
For the High-Luminosity (HL-LHC) phase, the upgrade of the Compact Muon Solenoid (CMS) experiment at CERN will include a novel MIP Timing Detector (MTD). The central part of MTD, the barrel timing layer (BTL), is designed to provide a measurement of
Externí odkaz:
http://arxiv.org/abs/2410.08738
Autor:
Rathi, R., Sivakandan, M., Chakrabarty, D., Krishna, M. V. Sunil, Upadhayaya, A. K., Sarkhel, S.
Electrified Medium Scale Traveling Ionospheric Disturbances (EMSTIDs) is one of the prominent plasma structures that affect the propagation of high frequency radio waves. Overall, seasonal variation and propagation characteristics of the EMSTIDs are
Externí odkaz:
http://arxiv.org/abs/2410.08550
The design of solid state batteries with lithium anodes is attracting attention for the prospect of high capacity and improved safety over liquid electrolyte systems. The nature of transport with lithium as the current carrier has as a consequence th
Externí odkaz:
http://arxiv.org/abs/2410.08357
Hamilton-Jacobi (HJ) reachability analysis is a powerful framework for ensuring safety and performance in autonomous systems. However, existing methods typically rely on a white-box dynamics model of the system, limiting their applicability in many p
Externí odkaz:
http://arxiv.org/abs/2410.07796
Autor:
PN, Aravinda Reddy, Ramachandra, Raghavendra, Venkatesh, Sushma, Rao, Krothapalli Sreenivasa, Mitra, Pabitra, Krishna, Rakesh
Face recognition systems (FRS) can be compromised by face morphing attacks, which blend textural and geometric information from multiple facial images. The rapid evolution of generative AI, especially Generative Adversarial Networks (GAN) or Diffusio
Externí odkaz:
http://arxiv.org/abs/2410.07625
In this work, we introduce PII-Scope, a comprehensive benchmark designed to evaluate state-of-the-art methodologies for PII extraction attacks targeting LLMs across diverse threat settings. Our study provides a deeper understanding of these attacks b
Externí odkaz:
http://arxiv.org/abs/2410.06704
Autor:
Bandari, Abhinav, Yin, Lu, Hsieh, Cheng-Yu, Jaiswal, Ajay Kumar, Chen, Tianlong, Shen, Li, Krishna, Ranjay, Liu, Shiwei
Network pruning has emerged as a potential solution to make LLMs cheaper to deploy. However, existing LLM pruning approaches universally rely on the C4 dataset as the calibration data for calculating pruning scores, leaving its optimality unexplored.
Externí odkaz:
http://arxiv.org/abs/2410.07461