Zobrazeno 1 - 10
of 9 392
pro vyhledávání: '"Cosma A"'
Autor:
Özer, Burak, Ochkan, Kyrylo, Chaturvedi, Raghav, Maltsev, Evgenii, Könye, Viktor, Giraud, Romain, Veyrat, Arthur, Hankiewicz, Ewelina M., Watanabe, Kenji, Taniguchi, Takashi, Büchner, Bernd, Brink, Jeroen van den, Fulga, Ion Cosma, Dufouleur, Joseph, Veyrat, Louis
Quantum Hall phases have recently emerged as a platform to investigate non-Hermitian topology in condensed-matter systems. This platform is particularly interesting due to its tunability, which allows to modify the properties and topology of the inve
Externí odkaz:
http://arxiv.org/abs/2410.14329
Weyl semimetals host topologically protected surface states, the so-called Fermi arcs, that have a penetration depth into the bulk that depends on surface-momentum, and diverges at the Weyl points. It has recently been observed in PtBi2 that such Fer
Externí odkaz:
http://arxiv.org/abs/2410.05381
Natural Language Inference (NLI) evaluation is crucial for assessing language understanding models; however, popular datasets suffer from systematic spurious correlations that artificially inflate actual model performance. To address this, we propose
Externí odkaz:
http://arxiv.org/abs/2410.03429
Mathematics has long been conveyed through natural language, primarily for human understanding. With the rise of mechanized mathematics and proof assistants, there is a growing need to understand informal mathematical text, yet most existing benchmar
Externí odkaz:
http://arxiv.org/abs/2409.11074
We tackle the problem of machine unlearning within neural information retrieval, termed Neural Machine UnRanking (NuMuR) for short. Many of the mainstream task- or model-agnostic approaches for machine unlearning were designed for classification task
Externí odkaz:
http://arxiv.org/abs/2408.05330
In the field of Image-Text Retrieval (ITR), recent advancements have leveraged large-scale Vision-Language Pretraining (VLP) for Fine-Grained (FG) instance-level retrieval, achieving high accuracy at the cost of increased computational complexity. Fo
Externí odkaz:
http://arxiv.org/abs/2407.20114
This study applies Natural Language Processing techniques, including Latent Dirichlet Allocation, to analyse anonymised maternity incident investigation reports from the Healthcare Safety Investigation Branch. The reports underwent preprocessing, ann
Externí odkaz:
http://arxiv.org/abs/2407.08328
In healthcare, thousands of safety incidents occur every year, but learning from these incidents is not effectively aggregated. Analysing incident reports using AI could uncover critical insights to prevent harm by identifying recurring patterns and
Externí odkaz:
http://arxiv.org/abs/2407.08322
We propose a network-model realization of magnetic higher-order topological phases (HOTPs) in the presence of the combined space-time symmetry $C_4\mathcal{T}$ -- the product of a fourfold rotation and time-reversal symmetry. We show that the system
Externí odkaz:
http://arxiv.org/abs/2407.03396
Autor:
Chaturvedi, Raghav, Könye, Viktor, Hankiewicz, Ewelina M., Brink, Jeroen van den, Fulga, Ion Cosma
It has recently been shown that signatures of non-Hermitian topology can be realized in a conventional quantum Hall device connected to multiple current sources. These signatures manifest as robust current-voltage characteristics, dictated by the pre
Externí odkaz:
http://arxiv.org/abs/2406.14303