연구
From Natural Language to Executable Narsese: A Neuro-Symbolic Benchmark and Pipeline for Reasoning with NARS
arXiv:2604.18873v1 Announce Type: new Abstract: Large language models LLMs are highly capable at language generation, but they remain unreliable when reasoning requires explicit symbolic structure, multistep inference, and interpretable uncertainty.
이 콘텐츠는 ArXiv AI 원본 기사의 요약입니다. 전문은 원본 사이트에서 확인해주세요.
원문 기사 보기 →