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Almieyar: A Culturally Grounded Benchmark for Multi-Dialect Arabic Speech Recognition
ALMIEYAR is introduced, a culturally grounded ASR benchmark covering 17 Arabic dialects across six families, built entirely from newly recorded speech unseen by existing models, including the first published benchmark for Ahwazi Arabic.
Predicting Temporal Exploitation of Software Vulnerabilities Using Knowledge-Fused Neural Learning
This study presents a knowledge-fused neural framework that reformulates this as a five-class temporal classification: 0–7 days, 8–30 days, 31–90 days, 91–365 days, and never exploited.