Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models. - Mahammed Kamruzzaman; Gene Louis Kim (CoRR, 2023)

BanMANI: A Dataset to Identify Manipulated Social Media News in Bangla. - Mahammed Kamruzzaman; Md. Minul Islam Shovon; Gene Louis Kim (CoRR, 2023)

Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models. - Mahammed Kamruzzaman; Md. Minul Islam Shovon; Gene Louis Kim (ACL (Findings), 2024)

"Global is Good, Local is Bad?": Understanding Brand Bias in LLMs. - Mahammed Kamruzzaman; Hieu Nguyen; Gene Louis Kim (EMNLP, 2024)

Prompting Techniques for Reducing Social Bias in LLMs through System 1 and System 2 Cognitive Processes. - Mahammed Kamruzzaman; Gene Louis Kim (CoRR, 2024)

Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs. - Mahammed Kamruzzaman; Gene Louis Kim (CoRR, 2024)

"Global is Good, Local is Bad?": Understanding Brand Bias in LLMs. - Mahammed Kamruzzaman; Hieu Minh Nguyen; Gene Louis Kim (CoRR, 2024)

"A Woman is More Culturally Knowledgeable than A Man?": The Effect of Personas on Cultural Norm Interpretation in LLMs. - Mahammed Kamruzzaman; Hieu Nguyen; Nazmul Hassan; Gene Louis Kim (CoRR, 2024)

Investigating and Mitigating Undesirable Biases in Large Language Models. - Mahammed Kamruzzaman (AAAI, 2025)

The Impact of Name Age Perception on Job Recommendations in LLMs. - Mahammed Kamruzzaman; Gene Louis Kim (ACL (Findings), 2025)

BanStereoSet: A Dataset to Measure Stereotypical Social Biases in LLMs for Bangla. - Mahammed Kamruzzaman; Abdullah Al Monsur; Shrabon Kumar Das; Enamul Hassan; Gene Louis Kim (ACL (Findings), 2025)

The Impact of Disability Disclosure on Fairness and Bias in LLM-Driven Candidate Selection. - Mahammed Kamruzzaman; Gene Louis Kim (FLAIRS, 2025)

From Anger to Joy: How Nationality Personas Shape Emotion Attribution in Large Language Models. - Mahammed Kamruzzaman; Abdullah Al Monsur; Gene Louis Kim; Anshuman Chhabra (CoRR, 2025)

Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation. - Kaveh Eskandari Miandoab; Mahammed Kamruzzaman; Arshia Gharooni; Gene Louis Kim; Vasanth Sarathy; Ninareh Mehrabi (CoRR, 2025)