AIBullisharXiv – CS AI · Apr 146/10
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NSFL: A Post-Training Neuro-Symbolic Fuzzy Logic Framework for Boolean Operators in Neural Embeddings
Researchers introduce Neuro-Symbolic Fuzzy Logic (NSFL), a training-free framework that enables neural embedding systems to perform complex logical operations without retraining. The approach combines fuzzy logic mathematics with neural embeddings, achieving up to 81% mAP improvements across multiple encoder configurations and demonstrating broad applicability to existing AI retrieval systems.