41 citations · 42 across the 5 of their papers we have counts for
5 papers
Not All That Is Fluent Is Factual: Investigating Hallucinations of Large Language Models in Academic Writing
Humam Khan, Md Tabrez Nafis, Shahab Saquib Sohail +2
Large Language models (LLMs) show extraordinary abilities, but they are still prone to hallucinations, especially when we use them for generating Academic content. We have investig…
A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture
Gautam Siddharth Kashyap, Md Tabrez Nafis, Samar Wazir
Training Artificial Neural Networks (ANNs) with Stochastic Gradient Descent (SGD) frequently encounters difficulties, including substantial computing expense and the risk of conver…
The Confidence Paradox: Can LLM Know When It's Wrong
Sahil Tripathi, Md Tabrez Nafis, Imran Hussain +1
Document Visual Question Answering (DocVQA) models often produce overconfident or ethically misaligned responses, especially under uncertainty. Existing models like LayoutLMv3, UDO…
Grading and Anomaly Detection for Automated Retinal Image Analysis using Deep Learning
Syed Mohd Faisal Malik, Md Tabrez Nafis, Mohd Abdul Ahad +1
The significant portion of diabetic patients was affected due to major blindness caused by Diabetic retinopathy (DR). For diabetic retinopathy, lesion segmentation, and detection t…
From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility
Pravneet Kaur, Gautam Siddharth Kashyap, Ankit Kumar +3
This groundbreaking study explores the expanse of Large Language Models (LLMs), such as Generative Pre-Trained Transformer (GPT) and Bidirectional Encoder Representations from Tran…