Predicate Renaming via Large Language Models
Abstract
Abstract In this paper, we address the problem of giving names to predicates in logic rules using Large Language Models (LLMs). In the context of Inductive Logic Programming, various rule generation methods produce rules containing unnamed predicates, with Predicate Invention being a key example. This hinders the readability, interpretability, and reusability of the logic theory. Leveraging recent advancements in LLMs development, we explore their ability to process natural language and code to provide semantically meaningful suggestions for giving a name to unnamed predicates. The evaluation of our approach on some hand-crafted logic rules indicates that LLMs hold potential for this task.
Fields of Study & Subjects
Logic
Reasoning
and Knowledge
Topic Modeling
Natural Language Processing Techniques
Publication details
- Journal / source
- Machine Learning
- Publisher
- Springer Science and Business Media LLC
- Volume
- 115
- Issue
- 6
- Publication date
- 23 May 2026
- Language
- EN