7 papers
Evaluating GRPO and DPO for Faithful Chain-of-Thought Reasoning in LLMs
Hadi Mohammadi, Tamas Kozak, Anastasia Giachanou
Chain-of-thought (CoT) reasoning has emerged as a powerful technique for improving the problem-solving capabilities of large language models (LLMs), particularly for tasks requirin…
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.…
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…
Anchor-based oversampling for imbalanced tabular data via contrastive and adversarial learning
Hadi Mohammadi, Ehsan Nazerfard, Mostafa Haghir Chehreghani
Imbalanced data represent a distribution with more frequencies of one class (majority) than the other (minority). This phenomenon occurs across various domains, such as security, m…
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…