Mahammed Kamruzzaman

According to our database1, Mahammed Kamruzzaman authored at least 16 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation.
CoRR, October, 2025

Prompting Techniques for Reducing Social Bias in LLMs through System 1 and System 2 Cognitive Processes.
Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, 2025

From Anger to Joy: How Nationality Personas Shape Emotion Attribution in Large Language Models.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Evaluating the Impact of Racial Cues on MLLMs Judgements of Politeness and Offensiveness.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

The Impact of Disability Disclosure on Fairness and Bias in LLM-Driven Candidate Selection.
Proceedings of the 38th International Florida Artificial Intelligence Research Society Conference, 2025

Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Seeing Race, Feeling Bias: Emotion Stereotyping in Multimodal Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

BanStereoSet: A Dataset to Measure Stereotypical Social Biases in LLMs for Bangla.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

The Impact of Name Age Perception on Job Recommendations in LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Investigating and Mitigating Undesirable Biases in Large Language Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
"A Woman is More Culturally Knowledgeable than A Man?": The Effect of Personas on Cultural Norm Interpretation in LLMs.
CoRR, 2024

"Global is Good, Local is Bad?": Understanding Brand Bias in LLMs.
CoRR, 2024

"Global is Good, Local is Bad?": Understanding Brand Bias in LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
BanMANI: A Dataset to Identify Manipulated Social Media News in Bangla.
CoRR, 2023

Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models.
CoRR, 2023


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