Zobrazeno 1 - 10
of 5 388
pro vyhledávání: '"P Henriksson"'
This paper investigates the reliability of explanations generated by large language models (LLMs) when prompted to explain their previous output. We evaluate two kinds of such self-explanations - extractive and counterfactual - using three state-of-t
Externí odkaz:
http://arxiv.org/abs/2407.14487
Autor:
Henriksson, Erik, Myntti, Amanda, Eskelinen, Anni, Erten-Johansson, Selcen, Hellström, Saara, Laippala, Veronika
This article explores deep learning models for the automatic identification of registers - text varieties such as news reports and discussion forums - in web-based datasets across 16 languages. Identifying web registers, or genres, is crucial for und
Externí odkaz:
http://arxiv.org/abs/2406.19892
Silicon-based photonic biosensors, such as microring resonators and Mach-Zehnder interferometers, offer significant potential for the detection of analytes at low concentrations. To enhance response time and improve the limit of detection within prac
Externí odkaz:
http://arxiv.org/abs/2406.19534
The dynamics of first-order phase transitions in strongly coupled systems are relevant in a variety of systems, from heavy ion collisions to the early universe. Holographic theories can be used to model these systems, with fluctuations usually suppre
Externí odkaz:
http://arxiv.org/abs/2406.15297
Autor:
Deutschmann, Benjamin J. B., Nelson, Christian, Henriksson, Mikael, Marti, Gian, Kosasih, Alva, Tervo, Nuutti, Leitinger, Erik, Tufvesson, Fredrik
Distributed multiple-input multiple-output (D-MIMO) is a promising technology for simultaneous communication and positioning. However, phase synchronization between multiple access points in D-MIMO is challenging and methods that function without the
Externí odkaz:
http://arxiv.org/abs/2404.15936
Contaminated or adulterated food poses a substantial risk to human health. Given sets of labeled web texts for training, Machine Learning and Natural Language Processing can be applied to automatically detect such risks. We publish a dataset of 7,546
Externí odkaz:
http://arxiv.org/abs/2403.11904
Autor:
Henriksson, Nils, Gabbani, Alessio, Petrucci, Gaia, Garoli, Denis, Pineider, Francesco, Maccaferri, Nicolò
Multilayered metal-dielectric nanostructures display both strong plasmonic behavior and hyperbolic optical dispersion. The latter is responsible for the appearance of two separated radiative and non-radiative channels in the extinction spectrum of th
Externí odkaz:
http://arxiv.org/abs/2403.00335
Autor:
Bertucci, Francesco, Henriksson, Johan, McPeak, Brian, Ricossa, Sergio, Riva, Francesco, Vichi, Alessandro
In this paper, we explore positivity bounds for the effective field theory~(EFT) of a single weakly coupled massive vector field. The presence of both mass and spin makes the crossing properties of the amplitudes vastly complicated -- we address this
Externí odkaz:
http://arxiv.org/abs/2402.13327
Safety measures need to be systemically investigated to what extent they evaluate the intended performance of Deep Neural Networks (DNNs) for critical applications. Due to a lack of verification methods for high-dimensional DNNs, a trade-off is neede
Externí odkaz:
http://arxiv.org/abs/2401.17013
We continue the investigation of large $N$ QCD from a modern bootstrap perspective, focusing on the mesons. We make the natural spectral assumption that the $2 \to 2$ pion amplitude must contain, above the spin-one rho meson, a massive resonance of s
Externí odkaz:
http://arxiv.org/abs/2312.15013