collaborators

9 papers

cs.LG2025

BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring

Rajan Das Gupta, Md Kishor Morol, Nafiz Fahad +3

As the global burden of Alzheimer's disease (AD) continues to grow, early and accurate detection has become increasingly critical, especially in regions with limited access to adva…

cs.CL2025

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems?

Md Tanzib Hosain, Md Kishor Morol

Among the hardest tasks for humans are those found in competitive programming where problems require sophisticated algorithmic thinking, puzzle solving, and the creation of effecti…

cs.CL2025

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

Md Tanzib Hosain, Salman Rahman, Md Kishor Morol +1

Despite impressive progress on complex reasoning, current large language models (LLMs) typically operate in isolation - treating each problem as an independent attempt, without acc…

cs.CL2025

Small Language Models: Architectures, Techniques, Evaluation, Problems and Future Adaptation

Tanjil Hasan Sakib, Md. Tanzib Hosain, Md. Kishor Morol

Small Language Models (SLMs) have gained substantial attention due to their ability to execute diverse language tasks successfully while using fewer computer resources. These model…

cs.CL2025

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models

Md. Tanzib Hosain, Rajan Das Gupta, Md. Kishor Morol

In this work, we provide DZEN, a dataset of parallel Dzongkha and English test questions for Bhutanese middle and high school students. The over 5K questions in our collection span…

cs.LG2025

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning

Md. Tanzib Hosain, Asif Zaman, Md. Shahriar Sajid +2

The widespread adoption of Artificial Intelligence (AI) has been driven by significant advances in intelligent system research. However, this progress has raised concerns about dat…