10 papers
From Automation to Collaboration: Human-in-the-Loop Methods for Safe and Trustworthy NLP
Most. Sharmin Sultana Samu, MD. Tanvir Ahmed Seum, Md. Rakibul Islam
Large language models are widely deployed in high-stakes NLP tasks, yet risks such as bias, hallucination, adversarial vulnerability and unreliable generalization remain. Probe-bas…
AI as Teammate or Tool? A Review of Human-AI Interaction in Decision Support
Most. Sharmin Sultana Samu, Nafisa Khan, Kazi Toufique Elahi +3
The integration of Artificial Intelligence (AI) necessitates determining whether systems function as tools or collaborative teammates. In this study, by synthesizing Human-AI Inter…
A Two-Stage Multitask Vision-Language Framework for Explainable Crop Disease Visual Question Answering
Md. Zahid Hossain, Most. Sharmin Sultana Samu, Md. Rakibul Islam +1
Visual question answering (VQA) for crop disease analysis requires accurate visual understanding and reliable language generation. In this work, we present a lightweight and explai…
Detecting AI-Generated Paraphrases in Bengali: A Comparative Study of Zero-Shot and Fine-Tuned Transformers
Md. Rakibul Islam, Most. Sharmin Sultana Samu, Md. Zahid Hossain +2
Large language models (LLMs) can produce text that closely resembles human writing. This capability raises concerns about misuse, including disinformation and content manipulation.…
Zero-Shot to Zero-Lies: Detecting Bengali Deepfake Audio through Transfer Learning
Most. Sharmin Sultana Samu, Md. Rakibul Islam, Md. Zahid Hossain +2
The rapid growth of speech synthesis and voice conversion systems has made deepfake audio a major security concern. Bengali deepfake detection remains largely unexplored. In this w…
FUSE: Unifying Spectral and Semantic Cues for Robust AI-Generated Image Detection
Md. Zahid Hossain, Most. Sharmin Sultana Samu, Md. Kamrozzaman Bhuiyan +2
The fast evolution of generative models has heightened the demand for reliable detection of AI-generated images. To tackle this challenge, we introduce FUSE, a hybrid system that c…
BeHGAN: Bengali Handwritten Word Generation from Plain Text Using Generative Adversarial Networks
Md. Rakibul Islam, Md. Kamrozzaman Bhuiyan, Safwan Muntasir +2
Handwritten Text Recognition (HTR) is a well-established research area. In contrast, Handwritten Text Generation (HTG) is an emerging field with significant potential. This task is…
Privacy-Preserving Chest X-ray Report Generation via Multimodal Federated Learning with ViT and GPT-2
Md. Zahid Hossain, Mustofa Ahmed, Most. Sharmin Sultana Samu +1
The automated generation of radiology reports from chest X-ray images holds significant promise in enhancing diagnostic workflows while preserving patient privacy. Traditional cent…
Explainable AI-Driven Detection of Human Monkeypox Using Deep Learning and Vision Transformers: A Comprehensive Analysis
Md. Zahid Hossain, Md. Rakibul Islam, Most. Sharmin Sultana Samu
Since mpox can spread from person to person, it is a zoonotic viral illness that poses a significant public health concern. It is difficult to make an early clinical diagnosis beca…
Vision-Language Models for Automated Chest X-ray Interpretation: Leveraging ViT and GPT-2
Md. Rakibul Islam, Md. Zahid Hossain, Mustofa Ahmed +1
Radiology plays a pivotal role in modern medicine due to its non-invasive diagnostic capabilities. However, the manual generation of unstructured medical reports is time consuming…