Confabulation: The Surprising Value of Large Language Model Hallucinations

Understand

This paper presents a systematic defense of large language model (LLM) hallucinations or 'confabulations' as a potential resource instead of a categorically negative pitfall.

• The standard view is that confabulations are inherently problematic and AI research should eliminate this flaw.
• In this paper, we argue and empirically demonstrate that measurable semantic characteristics of LLM confabulations mirror a human propensity to utilize increased narrativity as a cognitive resource for sense-making and communication.
• In other words, it has potential value.