3 papers
cs.CV2026
Semimage: HSV-Based Semantic Image Encoding for Disentangled Text Representation
Mohammad Zare
We propose SemImage, a novel method for representing a text document as a two-dimensional semantic image to be processed by convolutional neural networks (CNNs). In a SemImage, eac…
cs.AI2026
QQJ: Quantifying Qualitative Judgment for Scalable and Human-Aligned Evaluation of Generative AI
Marjan Veysi, Pirooz Shamsinejadbabaki, Mohammad Zare +1
The rapid progress of generative artificial intelligence has exposed fundamental limitations in existing evaluation methodologies, particularly for open-ended, creative, and human-…
cs.CL2025
Attention-Guided Feature Fusion (AGFF) Model for Integrating Statistical and Semantic Features in News Text Classification
Mohammad Zare
News text classification is a crucial task in natural language processing, essential for organizing and filtering the massive volume of digital content. Traditional methods typical…