From the 1 of 6 linked papers with an AI index.
6 papers
SISA-Rec: A Semantically Integrated Sequential Recommender with Contrastive Alignment
Soohan Abbasi, Shahid Munir Shah, Rafia Shaikh +1
The paper introduces SISA-Rec, a transformer-based sequential recommender that combines item ID embeddings with BERT-derived text embeddings via gated fusion and contrastive alignm…
AttentionDrop: A Novel Regularization Method for Transformer Models
Mirza Samad Ahmed Baig, Syeda Anshrah Gillani, Abdul Akbar Khan +2
Transformer-based architectures achieve state-of-the-art performance across a wide range of tasks in natural language processing, computer vision, and speech processing. However, t…
TextPixs: Glyph-Conditioned Diffusion with Character-Aware Attention and OCR-Guided Supervision
Syeda Anshrah Gillani, Mirza Samad Ahmed Baig, Osama Ahmed Khan +3
The modern text-to-image diffusion models boom has opened a new era in digital content production as it has proven the previously unseen ability to produce photorealistic and styli…
AI-based Wearable Vision Assistance System for the Visually Impaired: Integrating Real-Time Object Recognition and Contextual Understanding Using Large Vision-Language Models
Mirza Samad Ahmed Baig, Syeda Anshrah Gillani, Shahid Munir Shah +3
Visual impairment affects the ability of people to live a life like normal people. Such people face challenges in performing activities of daily living, such as reading, writing, t…
A Hybrid Approach for COVID-19 Detection: Combining Wasserstein GAN with Transfer Learning
Sumera Rounaq, Shahid Munir Shah, Mahmoud Aljawarneh
COVID-19 is extremely contagious and its rapid growth has drawn attention towards its early diagnosis. Early diagnosis of COVID-19 enables healthcare professionals and government a…
Advancing Depression Detection on Social Media Platforms Through Fine-Tuned Large Language Models
Shahid Munir Shah, Syeda Anshrah Gillani, Mirza Samad Ahmed Baig +2
This study investigates the use of Large Language Models (LLMs) for improved depression detection from users social media data. Through the use of fine-tuned GPT 3.5 Turbo 1106 and…