173 citations · 339 across the 14 of their papers we have counts for
5 papers · 1 filter
FrugalPrompt: Reducing Contextual Overhead in Large Language Models via Token Attribution
Syed Rifat Raiyan, Md Farhan Ishmam, Abdullah Al Imran +1
Human communication heavily relies on laconism and inferential pragmatics, allowing listeners to successfully reconstruct rich meaning from sparse, telegraphic speech. In contrast,…
Batch Augmentation with Unimodal Fine-tuning for Multimodal Fusion of Large Language Models
H M Dipu Kabir, Subrota Kumar Mondal, Mohammad Ali Moni
In this paper, we propose batch augmentation with unimodal fine-tuning for multimodal learning. We start with pre-trained unimodal models. We fine-tune the unimodal models with the…
KDC-Diff: A Latent-Aware Diffusion Model with Knowledge Retention for Memory-Efficient Image Generation
Md. Naimur Asif Borno, Md Sakib Hossain Shovon, Asmaa Soliman Al-Moisheer +1
The growing adoption of generative AI in real-world applications has exposed a critical bottleneck in the computational demands of diffusion-based text-to-image models. In this wor…
Decentralized LoRA augmented transformer with multi-scale feature learning for secured eye diagnosis
Md. Naimur Asif Borno, Md Sakib Hossain Shovon, MD Hanif Sikder +3
Accurate and privacy-preserving diagnosis of ophthalmic diseases remains a critical challenge in medical imaging, particularly given the limitations of existing deep learning model…
Multimodal Marvels of Deep Learning in Medical Diagnosis: A Comprehensive Review of COVID-19 Detection
Md Shofiqul Islam, Khondokar Fida Hasan, Hasibul Hossain Shajeeb +6
This study presents a comprehensive review of the potential of multimodal deep learning (DL) in medical diagnosis, using COVID-19 as a case example. Motivated by the success of art…