Zobrazeno 1 - 10
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pro vyhledávání: '"Galanis, P"'
We consider the problem of sampling from the ferromagnetic $q$-state Potts model on the random $d$-regular graph with parameter $\beta>0$. A key difficulty that arises in sampling from the model is the existence of a metastability window $(\beta_u,\b
Externí odkaz:
http://arxiv.org/abs/2410.14409
We present Legal Argument Reasoning (LAR), a novel task designed to evaluate the legal reasoning capabilities of Large Language Models (LLMs). The task requires selecting the correct next statement (from multiple choice options) in a chain of legal a
Externí odkaz:
http://arxiv.org/abs/2410.13352
In this paper we do three things. First, we outline the conditions under which the interaction rate of inelastic processes that change the internal state of a system of $N$ targets scales as $N^2$. This is an effect distinct from coherent elastic sca
Externí odkaz:
http://arxiv.org/abs/2408.04021
We consider the problem of sampling from the Ising model when the underlying interaction matrix has eigenvalues lying within an interval of length $\gamma$. Recent work in this setting has shown various algorithmic results that apply roughly when $\g
Externí odkaz:
http://arxiv.org/abs/2407.07645
Current- and next-generation gravitational-wave observatories may reveal new, ultralight bosons. Through the superradiance process, these theoretical particle candidates can form clouds around astrophysical black holes and result in detectable gravit
Externí odkaz:
http://arxiv.org/abs/2407.04304
Autor:
Galanis, Spyros, Mikhalishchev, Sergei
We study information aggregation in a dynamic trading model with partially informed traders. Ostrovsky [2012] showed that 'separable' securities aggregate information in all equilibria, however, separability is not robust to small changes in the trad
Externí odkaz:
http://arxiv.org/abs/2406.07186
The SemEval task on Argument Reasoning in Civil Procedure is challenging in that it requires understanding legal concepts and inferring complex arguments. Currently, most Large Language Models (LLM) excelling in the legal realm are principally purpos
Externí odkaz:
http://arxiv.org/abs/2405.08502
Autor:
Galanis, Nick
In the evolving landscape of Federated Learning (FL), a new type of attacks concerns the research community, namely Data Poisoning Attacks, which threaten the model integrity by maliciously altering training data. This paper introduces a novel defens
Externí odkaz:
http://arxiv.org/abs/2404.12778
Intensity interferometry is a technique developed many decades ago, that has recently enjoyed a renaissance thanks in part to advances in photodetector technology. We investigate the potential for long-baseline optical intensity interferometry to obs
Externí odkaz:
http://arxiv.org/abs/2403.15903
We consider the problem of estimating the parameters of a Markov Random Field with hard-constraints using a single sample. As our main running examples, we use the $k$-SAT and the proper coloring models, as well as general $H$-coloring models; for al
Externí odkaz:
http://arxiv.org/abs/2311.03332