KG-R1 trains a single RL agent to retrieve from and reason over knowledge graphs in one loop, achieving higher accuracy with fewer tokens than multi-module baselines and transferring to unseen graphs.
Multi-granularity Temporal Question Answering over Knowledge Graphs
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Quantum Knowledge Graphs model context-dependent triplet validity and improve LLM medical reasoning accuracy by 1.4 to 6 percentage points over baselines.
citing papers explorer
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Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning
KG-R1 trains a single RL agent to retrieve from and reason over knowledge graphs in one loop, achieving higher accuracy with fewer tokens than multi-module baselines and transferring to unseen graphs.
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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.