3 papers
cs.CL2026
Demographic Prompting at Scale: When More Attributes Hurt LLM--Human Agreement
Mahammed Kamruzzaman, Shrabon Kumar Das, Gene Louis Kim
We investigate how annotator demographic attributes, supplied as prompt cues, shape the alignment between large language model (LLM) predictions and human annotations across five t…
cs.CL2025
BanStereoSet: A Dataset to Measure Stereotypical Social Biases in LLMs for Bangla
Mahammed Kamruzzaman, Abdullah Al Monsur, Shrabon Das +2
This study presents BanStereoSet, a dataset designed to evaluate stereotypical social biases in multilingual LLMs for the Bangla language. In an effort to extend the focus of bias…
cs.CL2024
Exploring Learnability in Memory-Augmented Recurrent Neural Networks: Precision, Stability, and Empirical Insights
Shrabon Das, Ankur Mali
This study explores the learnability of memory-less and memory-augmented RNNs, which are theoretically equivalent to Pushdown Automata. Empirical results show that these models oft…