#semantic-reasoning2 articles

2 articles

AIBullisharXiv – CS AI · 15h ago6/10

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The EpisTwin: A Knowledge Graph-Grounded Neuro-Symbolic Architecture for Personal AI

Researchers introduce EpisTwin, a neuro-symbolic AI framework that creates Personal Knowledge Graphs from fragmented user data across applications. The system combines Graph Retrieval-Augmented Generation with visual refinement to enable complex reasoning over personal semantic data, addressing current limitations in personal AI systems.

AINeutralarXiv – CS AI · Feb 276/106

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Tokenization, Fusion and Decoupling: Bridging the Granularity Mismatch Between Large Language Models and Knowledge Graphs

Researchers propose KGT, a novel framework that bridges the gap between Large Language Models and Knowledge Graph Completion by using dedicated entity tokens for full-space prediction. The approach addresses fundamental granularity mismatches through specialized tokenization, feature fusion, and decoupled prediction mechanisms.