Zobrazeno 1 - 10
of 403
pro vyhledávání: '"A. Brokman"'
Autor:
Brokman, Jonathan, Hofman, Omer, Rachmil, Oren, Singh, Inderjeet, Pahuja, Vikas, Priya, Rathina Sabapathy Aishvariya, Giloni, Amit, Vainshtein, Roman, Kojima, Hisashi
This report presents a comparative analysis of open-source vulnerability scanners for conversational large language models (LLMs). As LLMs become integral to various applications, they also present potential attack surfaces, exposed to security risks
Externí odkaz:
http://arxiv.org/abs/2410.16527
Autor:
Brokman, Aviv, Kavuluru, Ramakanth
Cutting edge techniques developed in the general NLP domain are often subsequently applied to the high-value, data-rich biomedical domain. The past few years have seen generative language models (LMs), instruction finetuning, and few-shot learning be
Externí odkaz:
http://arxiv.org/abs/2402.13470
As neural networks grow in scale, their training becomes both computationally demanding and rich in dynamics. Amidst the flourishing interest in these training dynamics, we present a novel observation: Parameters during training exhibit intrinsic cor
Externí odkaz:
http://arxiv.org/abs/2312.13247
We present a new model, training procedure and architecture to create precise maps of distinction between two classes of images. The objective is to comprehend, in pixel-wise resolution, the unique characteristics of a class. These maps can facilitat
Externí odkaz:
http://arxiv.org/abs/2305.02899
We present an analysis of total-variation (TV) on non-Euclidean parameterized surfaces, a natural representation of the shapes used in 3D graphics. Our work explains recent experimental findings in shape spectral TV [Fumero et al., 2020] and adaptive
Externí odkaz:
http://arxiv.org/abs/2209.07517
Autor:
Brokman, Jonathan, Gilboa, Guy
Branched neural networks have been used extensively for a variety of tasks. Branches are sub-parts of the model that perform independent processing followed by aggregation. It is known that this setting induces a phenomenon called Branch Specializati
Externí odkaz:
http://arxiv.org/abs/2206.05810
Autor:
Ron, Shaked, Beeri, Hadar, Shinover, Ori, Tur, Noam M., Brokman, Jonathan, Engelhard, Ben, Gutfreund, Yoram
Publikováno v:
In Journal of Neuroscience Methods November 2024 411
Autor:
Lambert, Joshua, Sandhu, Harpal, Kean, Emily, Xavier, Teenu, Brokman, Aviv, Steckler, Zachary, Park, Lee, Stromberg, Arnold
Health insurance claims data offer a unique opportunity to study disease distribution on a large scale. Challenges arise in the process of accurately analyzing these raw data. One important challenge to overcome is the accurate classification of stud
Externí odkaz:
http://arxiv.org/abs/2111.04443
Autor:
Joshua Lambert, Harpal Sandhu, Emily Kean, Teenu Xavier, Aviv Brokman, Zachary Steckler, Lee Park, Arnold Stromberg
Publikováno v:
BMC Health Services Research, Vol 22, Iss 1, Pp 1-7 (2022)
Abstract Background Health insurance claims data offer a unique opportunity to study disease distribution on a large scale. Challenges arise in the process of accurately analyzing these raw data. One important challenge to overcome is the accurate cl
Externí odkaz:
https://doaj.org/article/5cd0b42d6b7c4b2893f693ff5e200483
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