4 papers
How Do Large Language Models Judge Social Attraction? Evidence from Theory-Grounded Persona Ratings Across Multiple LLMs and Humans
Hasan Mahmud, Khawaja Abaid Ullah, Mohammad Javad Khojasteh +2
Large language models (LLMs) are increasingly used to perform subjective evaluations traditionally made by humans, yet their validity as social judges remains unclear. This paper e…
When Personalization Becomes Bias: Structural and Discursive Religious Framing in AI-Generated Financial Advice
Muhammad Salar Khan, Hamza Umer, Hasan Mahmud +1
Large language models (LLMs) are increasingly integrated into financial advisory systems, yet their role in reproducing religious bias remains underexamined. This study provides sy…
Human-Robo-advisor collaboration in decision-making: Evidence from a multiphase mixed methods experimental study
Hasan Mahmud, Najmul Islam, Satish Krishnan
Robo-advisors (RAs) are cost-effective, bias-resistant alternatives to human financial advisors, yet adoption remains limited. While prior research has examined user interactions w…
Enhancing Sentiment Analysis in Bengali Texts: A Hybrid Approach Using Lexicon-Based Algorithm and Pretrained Language Model Bangla-BERT
Hemal Mahmud, Hasan Mahmud, Mohammad Rifat Ahmmad Rashid
Sentiment analysis (SA) is a process of identifying the emotional tone or polarity within a given text and aims to uncover the user's complex emotions and inner feelings. While sen…