13 citations · 13 across the 4 of their papers we have counts for
4 papers
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.…
LLMs as mirrors of societal moral standards: reflection of cultural divergence and agreement across ethical topics
Mijntje Meijer, Hadi Mohammadi, Ayoub Bagheri
Large language models (LLMs) have become increasingly pivotal in various domains due the recent advancements in their performance capabilities. However, concerns persist regarding…
Large Language Models as Mirrors of Societal Moral Standards
Evi Papadopoulou, Hadi Mohammadi, Ayoub Bagheri
Prior research has demonstrated that language models can, to a limited extent, represent moral norms in a variety of cultural contexts. This research aims to replicate these findin…
Persian Sentiment Analyzer: A Framework based on a Novel Feature Selection Method
Ayoub Bagheri, Mohamad Saraee
In the recent decade, with the enormous growth of digital content in internet and databases, sentiment analysis has received more and more attention between information retrieval a…