One theme cuts across the most credible 2026 predictions: autonomy will be driven less by bigger models and more by better ...
Incorporating Dynamic Logic Alignment into Knowledge Graph Reasoning Based on Reinforcement Learning
Abstract: Reinforcement learning-based knowledge graph reasoning requires complex logical reasoning based on given query relations. Existing methods rely exclusively on delayed reward signals to train ...
Abstract: Knowledge graphs (KGs) play a key role in promoting various multimedia and AI applications. However, with the explosive growth of multi-modal information, traditional knowledge graph ...
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