Zobrazeno 1 - 10
of 50 381
pro vyhledávání: '"Huda, A"'
Our future society will be increasingly digitalised, hyper-connected and globally data driven. The sixth generation (6G) and beyond 6G wireless networks are expected to bridge the digital and physical worlds by providing wireless connectivity as a se
Externí odkaz:
http://arxiv.org/abs/2410.23203
Autor:
Alabbas, Huda Najm
With the rapid growth of technology, emerging IT professionals increasingly require mentorship to secure positions in the field. Recognizing this need, ReCoded has enhanced the skill set of their tech Bootcamp graduates by introducing the community p
Externí odkaz:
http://arxiv.org/abs/2410.11912
Vocabulary adaptation, which integrates new vocabulary into pre-trained language models (LMs), enables expansion to new languages and mitigates token over-fragmentation. However, existing approaches are limited by their reliance on heuristic or exter
Externí odkaz:
http://arxiv.org/abs/2410.09644
Autor:
Farhat, Jamil de Araujo, Sant'Ana, Jean Michel de Souza, Rebelatto, João Luiz, Mahmood, Nurul Huda, Pasolini, Gianni, Souza, Richard Demo
We evaluate the performance of the LoRaWAN Long-Range Frequency Hopping Spread Spectrum (LR-FHSS) technique using a device-level probabilistic strategy for code rate and header replica allocation. Specifically, we investigate the effects of different
Externí odkaz:
http://arxiv.org/abs/2410.03392
Large language models (LLMs) have achieved remarkable success across various NLP tasks, yet their focus has predominantly been on English due to English-centric pre-training and limited multilingual data. While some multilingual LLMs claim to support
Externí odkaz:
http://arxiv.org/abs/2410.03115
Crack detection, particularly from pavement images, presents a formidable challenge in the domain of computer vision due to several inherent complexities such as intensity inhomogeneity, intricate topologies, low contrast, and noisy backgrounds. Auto
Externí odkaz:
http://arxiv.org/abs/2409.18099
Selecting an automatic metric that best emulates human annotators is often non-trivial, because there is no clear definition of "best emulates." A meta-metric is required to compare the human judgments to the automatic metric scores, and metric ranki
Externí odkaz:
http://arxiv.org/abs/2409.09598
In this paper, we present an improved version of the digital signature scheme proposed by Sharafi and Daghigh based on Module-LWE and Module-SIS problems. Our proposed signature scheme has a notably higher security level and smaller decoding failure
Externí odkaz:
http://arxiv.org/abs/2409.02222
In this paper, we intend to investigate the dynamics of the Circular Restricted Three-Body Problem. Here we assumed the primaries as the source of radiation and have variable mass. The gravitational perturbation from disk-like structure are also cons
Externí odkaz:
http://arxiv.org/abs/2408.00272
Autor:
Akhauri, Yash, AbouElhamayed, Ahmed F, Dotzel, Jordan, Zhang, Zhiru, Rush, Alexander M, Huda, Safeen, Abdelfattah, Mohamed S
The high power consumption and latency-sensitive deployments of large language models (LLMs) have motivated efficiency techniques like quantization and sparsity. Contextual sparsity, where the sparsity pattern is input-dependent, is crucial in LLMs b
Externí odkaz:
http://arxiv.org/abs/2406.16635