Mahammed Kamruzzaman
12 papers · 2023–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5)
π
Interdisciplinary Bridge
β‘
Prolific Year
(7)
π
Century Club
(11)
β
The Questioner
Conferences
ACL (3)
EMNLP (3)
AACL (2)
IJCNLP (2)
AAAI (1)
EACL (1)
Top co-authors
Keywords
large language model
(9)
social bia
(6)
bias evaluation
(4)
bias detection
(3)
cultural norm
(3)
fairness evaluation
(2)
responsible ai
(2)
emotion attribution
(2)
nationality persona
(2)
cross-cultural framework
(2)
emotional stereotype
(1)
nationality bia
(1)
stereotype measurement
(1)
job recommendation
(1)
llm bia
(1)
brand bia
(1)
persona assignment
(1)
sentiment analysis
(1)
age bia
(1)
natural language processing
(1)
Papers
βA Woman is More Culturally Knowledgeable than A Man?β: The Effect of Personas on Cultural Norm Interpretation in LLMs
EACL 2026
From Anger to Joy: How Nationality Personas Shape Emotion Attribution in Large Language Models
AACL 2025
Investigating and Mitigating Undesirable Biases in Large Language Models
AAAI 2025
The Impact of Name Age Perception on Job Recommendations in LLMs
ACL 2025
Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs
EMNLP 2025
Seeing Race, Feeling Bias: Emotion Stereotyping in Multimodal Language Models
EMNLP 2025
From Anger to Joy: How Nationality Personas Shape Emotion Attribution in Large Language Models
IJCNLP 2025
BanStereoSet: A Dataset to Measure Stereotypical Social Biases in LLMs for Bangla
ACL 2025
Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models
ACL 2024
βGlobal is Good, Local is Bad?β: Understanding Brand Bias in LLMs
EMNLP 2024
Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models
IJCNLP 2023
Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models
AACL 2023