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pro vyhledávání: '"Gera IN"'
Given the rapid progress of generative AI, there is a pressing need to systematically compare and choose between the numerous models and configurations available. The scale and versatility of such evaluations make the use of LLM-based judges a compel
Externí odkaz:
http://arxiv.org/abs/2412.09569
The Hayward regular BH solution attempted to resolve the curvature singularity issue by entering the domain of non-singular spacetimes. Recently, Dutta Roy and Kar (Phys. Rev. D 106, 044028) expanded this solution to encompass a broader range of spac
Externí odkaz:
http://arxiv.org/abs/2411.11970
Autor:
Balasubramanian, S, Subramaniam, M Sai, Talasu, Sai Sriram, Krishna, P Yedu, Sai, Manepalli Pranav Phanindra, Mukkamala, Ravi, Gera, Darshan
Deep neural networks (DNNS) excel at learning from static datasets but struggle with continual learning, where data arrives sequentially. Catastrophic forgetting, the phenomenon of forgetting previously learned knowledge, is a primary challenge. This
Externí odkaz:
http://arxiv.org/abs/2410.23751
Protecting the intellectual property of machine learning models is a hot topic and many watermarking schemes for deep neural networks have been proposed in the literature. Unfortunately, prior work largely neglected the investigation of watermarking
Externí odkaz:
http://arxiv.org/abs/2410.04570
Autor:
Gera, Nora, Pierson, Emma
Tests for racial bias commonly assess whether two people of different races are treated differently. A fundamental challenge is that, because two people may differ in many ways, factors besides race might explain differences in treatment. Here, we pr
Externí odkaz:
http://arxiv.org/abs/2409.11269
Autor:
Perlitz, Yotam, Gera, Ariel, Arviv, Ofir, Yehudai, Asaf, Bandel, Elron, Shnarch, Eyal, Shmueli-Scheuer, Michal, Choshen, Leshem
Recent advancements in Language Models (LMs) have catalyzed the creation of multiple benchmarks, designed to assess these models' general capabilities. A crucial task, however, is assessing the validity of the benchmarks themselves. This is most comm
Externí odkaz:
http://arxiv.org/abs/2407.13696
Autor:
Laszlo, Andras, Gera, Adam, Hamar, Gergo, Palfi, Botond, Podlaski, Piotr, Rumberger, Brant, Varga, Dezso
Publikováno v:
Journal of Instrumentation 19 (2024) P07024
This paper presents a novel method for low maintenance, low ambiguity in-situ drift velocity monitoring in large volume Time Projection Chambers (TPCs). The method was developed and deployed for the 40m^3 TPC tracker system of the NA61/SHINE experime
Externí odkaz:
http://arxiv.org/abs/2405.01285
One of the benefits of using executable specifications such as Behavioral Programming (BP) is the ability to align the system implementation with its requirements. This is facilitated in BP by a protocol that allows independent implementation modules
Externí odkaz:
http://arxiv.org/abs/2404.01858
In this work, we evolve Assembly code for the CodeGuru competition. The goal is to create a survivor -- an Assembly program that runs the longest in shared memory, by resisting attacks from adversary survivors and finding their weaknesses. For evolvi
Externí odkaz:
http://arxiv.org/abs/2403.19489