3 papers
cs.CL2026
ADE: Adaptive Dictionary Embeddings -- Scaling Multi-Anchor Representations to Large Language Models
Orhan Demirci, Sezer Aptourachman, Aydın Kaya
Word embeddings are fundamental to natural language processing, yet traditional approaches represent each word with a single vector, creating representational bottlenecks for polys…
eess.IV2025
Tree-NET: Enhancing 2D Medical Image Segmentation Through Efficient Low-Level Feature Training
Orhan Demirci, Bulent Yilmaz
This paper introduces Tree-NET, a novel framework for medical image segmentation that leverages bottleneck supervision to enhance both segmentation accuracy and computational effic…
cs.DC2024
When IoT Meet LLMs: Applications and Challenges
Ibrahim Kok, Orhan Demirci, Suat Ozdemir
Recent advances in Large Language Models (LLMs) have positively and efficiently transformed workflows in many domains. One such domain with significant potential for LLM integratio…