2 citations · 5 across the 5 of their papers we have counts for
5 papers
Evaluating LLMs' Effectiveness on Real-World Consumer Device Repair Questions
Atm Mizanur Rahman, Md Arid Hasan, Syed Ishtiaque Ahmed +1
Consumer device repair is an important but underexplored testbed for large language models (LLMs). Repair tasks require reasoning over incomplete problem descriptions, hardware-spe…
Enhancing Mental Health Counseling Support in Bangladesh using Culturally-Grounded Knowledge
Md Arid Hasan, Azhagu Meena SP, Aditya Khan +6
Large language models (LLMs) show promise in generating supportive responses for mental health and counseling applications. However, their responses often lack cultural sensitivity…
Depthwise Separable Convolutions with Deep Residual Convolutions
Md Arid Hasan, Krishno Dey
The recent advancement of edge computing enables researchers to optimize various deep learning architectures to employ them in edge devices. In this study, we aim to optimize Xcept…
Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings
Krishno Dey, Prerona Tarannum, Md. Arid Hasan +2
Large Language Models (LLMs) are trained on massive amounts of data, enabling their application across diverse domains and tasks. Despite their remarkable performance, most LLMs ar…
Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings
Md. Arid Hasan, Prerona Tarannum, Krishno Dey +2
Large language models (LLMs) have garnered significant interest in natural language processing (NLP), particularly their remarkable performance in various downstream tasks in resou…