Papers
1–3 of 3Research Paper·Feb 19, 2026
Ontology-Guided Neuro-Symbolic Inference: Grounding Language Models with Mathematical Domain Knowledge
Language models exhibit fundamental limitations -- hallucination, brittleness, and lack of formal grounding -- that are particularly problematic in high-stakes specialist fields requiring verifiable r...
6.0 viability
Research Paper·Feb 3, 2026
KANFIS A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning
Adaptive Neuro-Fuzzy Inference System (ANFIS) was designed to combine the learning capabilities of neural network with the reasoning transparency of fuzzy logic. However, conventional ANFIS architectu...
5.0 viability
Research Paper·Jan 28, 2026
REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence
Neuro-symbolic AI systems integrate neural perception with symbolic reasoning to enable data-efficient, interpretable, and robust intelligence beyond purely neural models. Although this compositional ...
3.0 viability