all AI news
Logical Reasoning over Natural Language as Knowledge Representation: A Survey
Feb. 19, 2024, 5:48 a.m. | Zonglin Yang, Xinya Du, Rui Mao, Jinjie Ni, Erik Cambria
cs.CL updates on arXiv.org arxiv.org
Abstract: Logical reasoning is central to human cognition and intelligence. It includes deductive, inductive, and abductive reasoning. Past research of logical reasoning within AI uses formal language as knowledge representation and symbolic reasoners. However, reasoning with formal language has proved challenging (e.g., brittleness and knowledge-acquisition bottleneck). This paper provides a comprehensive overview on a new paradigm of logical reasoning, which uses natural language as knowledge representation and pretrained language models as reasoners, including philosophical definition and …
abstract acquisition arxiv cognition cs.ai cs.cl human inductive intelligence knowledge language natural natural language reasoning representation research survey type
More from arxiv.org / cs.CL updates on arXiv.org
Benchmarking LLMs via Uncertainty Quantification
2 days, 13 hours ago |
arxiv.org
CARE: Extracting Experimental Findings From Clinical Literature
2 days, 13 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
RL Analytics - Content, Data Science Manager
@ Meta | Burlingame, CA
Research Engineer
@ BASF | Houston, TX, US, 77079