3 papers
cs.LG2025
Frequency-Aware Model Parameter Explorer: A new attribution method for improving explainability
Ali Yavari, Alireza Mohamadi, Elham Beydaghi +2
State-of-the-art attribution methods rely on adversarial sample generation that applies an all-pass filter across the frequency spectrum, discarding fine-grained high-frequency inf…
cs.CY2025
Survival at Any Cost? LLMs and the Choice Between Self-Preservation and Human Harm
Alireza Mohamadi, Ali Yavari
When survival instincts conflict with human welfare, how do Large Language Models (LLMs) make ethical choices? This fundamental tension becomes critical as LLMs integrate into auto…
cs.LG2024
An explainable machine learning-based approach for analyzing customers' online data to identify the importance of product attributes
Aigin Karimzadeh, Amir Zakery, Mohammadreza Mohammadi +1
Online customer data provides valuable information for product design and marketing research, as it can reveal the preferences of customers. However, analyzing these data using art…