18 citations · 23 across the 5 of their papers we have counts for
5 papers
PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models
Nusrat Jahan Prottasha, Upama Roy Chowdhury, Shetu Mohanto +7
Large models such as Large Language Models (LLMs) and Vision Language Models (VLMs) have transformed artificial intelligence, powering applications in natural language processing,…
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
Nusrat Jahan Prottasha, Asif Mahmud, Md. Shohanur Islam Sobuj +4
Large Language Models (LLMs) are gaining significant popularity in recent years for specialized tasks using prompts due to their low computational cost. Standard methods like prefi…
Leveraging Pre-trained CNNs for Efficient Feature Extraction in Rice Leaf Disease Classification
Md. Shohanur Islam Sobuj, Md. Imran Hossen, Md. Foysal Mahmud +1
Rice disease classification is a critical task in agricultural research, and in this study, we rigorously evaluate the impact of integrating feature extraction methodologies within…
L-TUNING: Synchronized Label Tuning for Prompt and Prefix in LLMs
Md. Kowsher, Md. Shohanur Islam Sobuj, Asif Mahmud +2
Efficiently fine-tuning Large Language Models (LLMs) for specific tasks presents a considerable challenge in natural language processing. Traditional methods, like prompt or prefix…
A Classical Approach to Handcrafted Feature Extraction Techniques for Bangla Handwritten Digit Recognition
Md. Ferdous Wahid, Md. Fahim Shahriar, Md. Shohanur Islam Sobuj
Bangla Handwritten Digit recognition is a significant step forward in the development of Bangla OCR. However, intricate shape, structural likeness and distinctive composition style…