10 papers
Unequal Verdicts: Investigating Gender Bias in LLM-Based Fake News Detection
Razieh Chalehchaleh, Reza Farahbakhsh, Noel Crespi
Large Language Models (LLMs) are increasingly used for automated fact-checking, yet their susceptibility to gender bias in this context remains underexplored. This study presents t…
PTEI: Integrating Personality Traits to Enhance Emotional Intelligence in Large Language Models
Amir Reza Jafari, Praboda Rajapaksha, Reza Farahbakhsh +1
Despite advances in Emotional Intelligence (EI), Large Language Models (LLMs) still significantly underperform humans in complex emotional reasoning. This gap originates partly fro…
Med-StepBench: A Hierarchical Reasoning Framework for Evaluating Hallucinations in Medical Vision-Language Models
Minh Khoi Nguyen, Dai Lam Le, Amir Reza Jafari +8
Large vision-language models (VLMs) demonstrate strong performance in medical image understanding, but frequently generate clinically plausible yet incorrect statements, raising si…
Toxicity Detection Should Measure Contextual Harm, Not Text-Intrinsic Badness
Sergei Berezin, Reza Farahbakhsh, Noel Crespi
Toxicity detection has become core safety infrastructure for online moderation, dataset filtering, and deployed language-model systems. Yet most detectors still treat toxicity as a…
Information Density as a Quantitative Measure for AI-enabled Virtual Sensing: Feasibility and Limits
Hrishikesh Dutta, Roberto Minerva, Reza Farahbakhsh +1
Modern IoT and sensor networks generate vast amounts of data, posing significant challenges for storage, transmission, and real-time processing. Traditional approaches, such as com…
Few-Shot Contrastive Adaptation for Audio Abuse Detection in Low-Resource Indic Languages
Aditya Narayan Sankaran, Reza Farahbakhsh, Noel Crespi
Abusive and hateful speech is increasingly spoken rather than written, surfacing in voice notes, calls, and short-form videos. Most detection systems still transcribe speech to tex…