3 citations · 6 across the 4 of their papers we have counts for
4 papers
Who Benefits from RAG? The Role of Exposure, Utility and Attribution Bias
Mahdi Dehghan, Graham McDonald
Large Language Models (LLMs) enhanced with Retrieval-Augmented Generation (RAG) have achieved substantial improvements in accuracy by grounding their responses in external document…
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan +1
Recent work in recommender systems mainly focuses on fairness in recommendations as an important aspect of measuring recommendations quality. A fairness-aware recommender system ai…
The Unfairness of Popularity Bias in Book Recommendation
Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mahdi Dehghan
Recent studies have shown that recommendation systems commonly suffer from popularity bias. Popularity bias refers to the problem that popular items (i.e., frequently rated items)…
Mining Shape of Expertise: A Novel Approach Based on Convolutional Neural Network
Mahdi Dehghan, Hossein A. Rahmani, Ahmad Ali Abin +1
Expert finding addresses the task of retrieving and ranking talented people on the subject of user query. It is a practical issue in the Community Question Answering networks. Recr…