Zobrazeno 1 - 10
of 196 033
pro vyhledávání: '"Marko, A."'
Deep learning has been proven to be a powerful tool for addressing the most significant issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource allocation, and security attacks. The utilization of deep learning techni
Externí odkaz:
http://arxiv.org/abs/2410.23949
Spell-checkers are valuable tools that enhance communication by identifying misspelled words in written texts. Recent improvements in deep learning, and in particular in large language models, have opened new opportunities to improve traditional spel
Externí odkaz:
http://arxiv.org/abs/2410.23514
Autor:
Mecattaf, Matteo G., Slater, Ben, Tešić, Marko, Prunty, Jonathan, Voudouris, Konstantinos, Cheke, Lucy G.
As general-purpose tools, Large Language Models (LLMs) must often reason about everyday physical environments. In a question-and-answer capacity, understanding the interactions of physical objects may be necessary to give appropriate responses. Moreo
Externí odkaz:
http://arxiv.org/abs/2410.23242
We provide a solution for decoherence in spatial superpositions due to scattering/collision with air molecules. This result reproduces the short- and long-wavelength limits known in the literature. We compare the decoherence rate with several existin
Externí odkaz:
http://arxiv.org/abs/2410.20910
Persistent revivals recently observed in Rydberg atom simulators have challenged our understanding of thermalization and attracted much interest to the concept of quantum many-body scars (QMBSs). QMBSs are non-thermal highly excited eigenstates that
Externí odkaz:
http://arxiv.org/abs/2410.18913
Publikováno v:
ACS Omega 8 (2023), 45056-45064
Two-dimensional (2D) heterostructures reveal novel physicochemical phenomena at different length scales, that are highly desirable for technological applications. We present a comprehensive density functional theory study of van der Waals (vdW) heter
Externí odkaz:
http://arxiv.org/abs/2410.14293
Python Testbed for Federated Learning Algorithms (PTB-FLA) is a simple FL framework targeting smart Internet of Things in edge systems that provides both generic centralized and decentralized FL algorithms, which implement the corresponding FL orches
Externí odkaz:
http://arxiv.org/abs/2410.13429
Autor:
Đoković, Lazar, Robnik-Šikonja, Marko
Publikováno v:
Proceedings of the 27th International Multiconference INFORMATION SOCIETY - IS 2024, Volume A, 2024, pages 19-22
The sarcasm detection task in natural language processing tries to classify whether an utterance is sarcastic or not. It is related to sentiment analysis since it often inverts surface sentiment. Because sarcastic sentences are highly dependent on co
Externí odkaz:
http://arxiv.org/abs/2410.12704
Autor:
Djukanović, Marko, Reixach, Jaume, Nikolikj, Ana, Eftimov, Tome, Kartelj, Aleksandar, Blum, Christian
This paper addresses the Restricted Longest Common Subsequence (RLCS) problem, an extension of the well-known Longest Common Subsequence (LCS) problem. This problem has significant applications in bioinformatics, particularly for identifying similari
Externí odkaz:
http://arxiv.org/abs/2410.12031
The integrity of AI benchmarks is fundamental to accurately assess the capabilities of AI systems. The internal validity of these benchmarks - i.e., making sure they are free from confounding factors - is crucial for ensuring that they are measuring
Externí odkaz:
http://arxiv.org/abs/2410.11672