AI research
The research paper "Cognitive Logic Decoupling: Separating Intuition from Formal Reasoning in LLMs" (arXiv:2606.16045), published on June 16, 2026, introduces a dual--stream architecture designed to enhance logical fidelity in generative AI. Researchers at the University of Toronto propose "Cognitive Logic Decoupling" (CLD), a method that bifurcates the inference process into a semantic generation layer and a symbolic validation layer. This separation allows the model to perform real--time ontological checks against a knowledge graph without compromising the natural language fluency of the output. The framework demonstrates significant improvements in multi--step reasoning tasks where traditional RAG systems often fail due to semantic drift.