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cs.LG2025
Task-based Loss Functions in Computer Vision: A Comprehensive Review
Omar Elharrouss, Yasir Mahmood, Yassine Bechqito +4
Loss functions are at the heart of deep learning, shaping how models learn and perform across diverse tasks. They are used to quantify the difference between predicted outputs and…
cs.LG2025
Domain Specific Benchmarks for Evaluating Multimodal Large Language Models
Khizar Anjum, Muhammad Arbab Arshad, Kadhim Hayawi +10
Large language models (LLMs) are increasingly being deployed across disciplines due to their advanced reasoning and problem solving capabilities. To measure their effectiveness, va…
cs.LG2025
Intelligent Task Offloading in VANETs: A Hybrid AI-Driven Approach for Low-Latency and Energy Efficiency
Tariq Qayyum, Asadullah Tariq, Muhammad Ali +3
Vehicular Ad-hoc Networks (VANETs) are integral to intelligent transportation systems, enabling vehicles to offload computational tasks to nearby roadside units (RSUs) and mobile e…