Amir Nassereldine

Driving Through Uncertainty: Risk-Averse Control with LLM Commonsense for Autonomous Driving under Perception Deficits

FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks

Large Language Models have Intrinsic Self-Correction Ability

Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability

Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices