Quantum Knowledge Graphs model context-dependent triplet validity and improve LLM medical reasoning accuracy by 1.4 to 6 percentage points over baselines.
Question Answering Over Temporal Knowledge Graphs
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DGMM is proposed as an explicit graph-structured memory architecture for AI that enables persistent episodic memory, cue-based recall, and context-dependent interpretation without retraining.
citing papers explorer
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Quantum Knowledge Graph: Modeling Context-Dependent Triplet Validity
Quantum Knowledge Graphs model context-dependent triplet validity and improve LLM medical reasoning accuracy by 1.4 to 6 percentage points over baselines.
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The Dynamic Gist-Based Memory Model (DGMM): A Memory-Centric Architecture for Artificial Intelligence
DGMM is proposed as an explicit graph-structured memory architecture for AI that enables persistent episodic memory, cue-based recall, and context-dependent interpretation without retraining.