2 citations · 5 across the 13 of their papers we have counts for
3 papers · 1 filter
Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation
Kaveh Eskandari Miandoab, Mahammed Kamruzzaman, Arshia Gharooni +3
Large Language Models have been shown to demonstrate stereotypical biases in their representations and behavior due to the discriminative nature of the data that they have been tra…
From Anger to Joy: How Nationality Personas Shape Emotion Attribution in Large Language Models
Mahammed Kamruzzaman, Abdullah Al Monsur, Gene Louis Kim +1
Emotions are a fundamental facet of human experience, varying across individuals, cultural contexts, and nationalities. Given the recent success of Large Language Models (LLMs) as…
The Impact of Disability Disclosure on Fairness and Bias in LLM-Driven Candidate Selection
Mahammed Kamruzzaman, Gene Louis Kim
As large language models (LLMs) become increasingly integrated into hiring processes, concerns about fairness have gained prominence. When applying for jobs, companies often reques…