| 2026 | EACL | Event Detection with a Context-Aware Encoder and LoRA for Improved Performance on Long-Tailed Classes. | Abdullah Al Monsur, Nitesh Vamshi Bommisetty, Gene Louis Kim |
| 2026 | LREC | Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation. | Kaveh Eskandari Miandoab, Mahammed Kamruzzaman, Arshia Gharooni, Gene Louis Kim, Vasanth Sarathy, Ninareh Mehrabi |
| 2025 | ACL | The Impact of Name Age Perception on Job Recommendations in LLMs. | Mahammed Kamruzzaman, Gene Louis Kim |
| 2025 | ACL | 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 |
| 2025 | EMNLP | Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs. | Mahammed Kamruzzaman, Gene Louis Kim |
| 2025 | FlAIRS | The Impact of Disability Disclosure on Fairness and Bias in LLM-Driven Candidate Selection. | Mahammed Kamruzzaman, Gene Louis Kim |
| 2025 | ICCV | Evaluating the Impact of Racial Cues on MLLMs Judgements of Politeness and Offensiveness. | Mahammed Kamruzzaman, Gene Louis Kim |
| 2025 | IJCNLP | From Anger to Joy: How Nationality Personas Shape Emotion Attribution in Large Language Models. | Mahammed Kamruzzaman, Abdullah Al Monsur, Gene Louis Kim, Anshuman Chhabra |
| 2025 | RANLP | Prompting Techniques for Reducing Social Bias in LLMs through System 1 and System 2 Cognitive Processes. | Mahammed Kamruzzaman, Gene Louis Kim |
| 2024 | AAAI | Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract). | Jeremy Rutter, Maneesh Reddy Chamakura, Justin Delgado, Gene Louis Kim |
| 2024 | ACL | Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models. | Mahammed Kamruzzaman, Md. Minul Islam Shovon, Gene Louis Kim |
| 2024 | EMNLP | "Global is Good, Local is Bad?": Understanding Brand Bias in LLMs. | Mahammed Kamruzzaman, Hieu Nguyen, Gene Louis Kim |