4 papers · 1 filter
Do Large Language Models Understand Morality Across Cultures?
Hadi Mohammadi, Yasmeen F. S. S. Meijer, Efthymia Papadopoulou +1
Recent advancements in large language models (LLMs) have established them as powerful tools across numerous domains. However, persistent concerns about embedded biases, such as gen…
Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation
Hadi Mohammadi, Tina Shahedi, Pablo Mosteiro +3
Understanding the sources of variability in annotations is crucial for developing fair NLP systems, especially for tasks like sexism detection where demographic bias is a concern.…
Exploring Cultural Variations in Moral Judgments with Large Language Models
Hadi Mohammadi, Ayoub Bagheri
Large Language Models (LLMs) have shown strong performance across many tasks, but their ability to capture culturally diverse moral values remains unclear. In this paper, we examin…
Explainability-Based Token Replacement on LLM-Generated Text
Hadi Mohammadi, Anastasia Giachanou, Daniel L. Oberski +1
Generative models, especially large language models (LLMs), have shown remarkable progress in producing text that appears human-like. However, they often exhibit patterns that make…