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cs.AI2025
TOGGLE: Temporal Logic-Guided Large Language Model Compression for Edge
Khurram Khalil, Khaza Anuarul Hoque
Large Language Models (LLMs) deliver exceptional performance across natural language tasks but demand substantial computational resources, limiting their deployment on resource-con…
cs.AI2025
RIFT: A Scalable Methodology for LLM Accelerator Fault Assessment using Reinforcement Learning
Khurram Khalil, Muhammad Mahad Khaliq, Khaza Anuarul Hoque
The massive scale of modern AI accelerators presents critical challenges to traditional fault assessment methodologies, which face prohibitive computational costs and provide poor…
cs.AI2025
ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing
Ayesha Siddique, Khurram Khalil, Khaza Anuarul Hoque
Explainable artificial intelligence (XAI) enhances AI system transparency by framing interpretability as an optimization problem. However, this approach often necessitates numerous…