2 papers
cs.IR2026
NSFL: A Post-Training Neuro-Symbolic Fuzzy Logic Framework for Boolean Operators in Neural Embeddings
Vladi Vexler, Ofer Idan, Gil Lederman +1
Standard dense retrievers lack a native calculus for multi-atom logical constraints. We introduce Neuro-Symbolic Fuzzy Logic (NSFL), a framework that adapts formal t-norms and t-co…
cs.CV2026
Few Shots Text to Image Retrieval: New Benchmarking Dataset and Optimization Methods
Ofer Idan, Vladi Vexler, Gil Lederman +3
Pre-trained vision-language models (VLMs) excel in multimodal tasks, commonly encoding images as embedding vectors for storage in databases and retrieval via approximate nearest ne…