Search Results for author:
Found 3 papers, 1 papers with code
Counter-intuitive: Large Language Models Can Better Understand Knowledge Graphs Than We Thought
Although the method of enhancing large language models' (LLMs') reasoning ability and reducing their hallucinations through the use of knowledge graphs (KGs) has received widespread attention, the exploration of how to enable LLMs to integrate the structured knowledge in KGs on-the-fly remains inadequate.
Ontology Revision based on Pre-trained Language Models
We conduct experiments over 19 ontology pairs and compare our algorithms and scoring functions with existing ones.
An Embedding-based Approach to Inconsistency-tolerant Reasoning with Inconsistent Ontologies
A natural way to reason with an inconsistent ontology is to utilize the maximal consistent subsets of the ontology.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
