4 papers
Lights, Camera, Carbon: Architectural Scaling Laws for Video Generation Energy Consumption
Nidhal Jegham, Boris Gamazaychikov, Sasha Luccioni
We present a bidirectional framework for estimating the energy consumption of text-to-video (T2V) and text-to-video-audio (T2VA) models from architectural first principles and obse…
How Hungry is AI? Benchmarking Energy, Water, and Carbon Footprint of LLM Inference
Nidhal Jegham, Marwan Abdelatti, Chan Young Koh +2
This paper introduces an infrastructure-aware benchmarking framework for quantifying the environmental footprint of LLM inference across 30 state-of-the-art models in commercial da…
YOLO Evolution: A Comprehensive Benchmark and Architectural Review of YOLOv12, YOLO11, and Their Previous Versions
Nidhal Jegham, Chan Young Koh, Marwan Abdelatti +1
This study presents a comprehensive benchmark analysis of various YOLO (You Only Look Once) algorithms. It represents the first comprehensive experimental evaluation of YOLOv3 to t…
Visual Reasoning Evaluation of Grok, Deepseek Janus, Gemini, Qwen, Mistral, and ChatGPT
Nidhal Jegham, Marwan Abdelatti, Abdeltawab Hendawi
Traditional evaluations of multimodal large language models (LLMs) have been limited by their focus on single-image reasoning, failing to assess crucial aspects like contextual und…