A textbook-derived neuroscience knowledge graph supplies synthetic multi-hop QA supervision and RL rewards to fine-tune a small LM claimed to exceed larger general models on expert reasoning.
and Zhou L
2 Pith papers cite this work. Polarity classification is still indexing.
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A four-valued intensional first-order logic with a Closed Knowledge Assumption is proposed for AGI robots, treating unlisted facts as 'unknown' and inconsistent statements as the special value ⊤.
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Knowledge Graph-Driven Expert-Level Reasoning for Neuroscience
A textbook-derived neuroscience knowledge graph supplies synthetic multi-hop QA supervision and RL rewards to fine-tune a small LM claimed to exceed larger general models on expert reasoning.
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Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions
A four-valued intensional first-order logic with a Closed Knowledge Assumption is proposed for AGI robots, treating unlisted facts as 'unknown' and inconsistent statements as the special value ⊤.