Commonsense Reasoning and Explainable Artificial Intelligence Using Large Language Models

Stefanie Krause, Frieder Stolzenburg

Abstract: Commonsense reasoning is a difficult task for a computer, but a critical skill for an artificial intelligence (AI). It can enhance the explainability of AI models by enabling them to provide intuitive and human-like explanations for their decisions. This is necessary in many areas but especially in the field of question answering (QA), which is one of the most important tasks of natural language processing (NLP). Over time, a multitude of methods have emerged for solving commonsense reasoning problems such as knowledge-based approaches using formal logic or linguistic analysis.

External IDs:doi:10.1007/978-3-031-50396-2_17