arXiv:2401.07897cs.CL
The Pitfalls of Defining Hallucination
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Abstract
Despite impressive advances in Natural Language Generation (NLG) and Large Language Models (LLMs), researchers are still unclear about important aspects of NLG evaluation. To substantiate this claim, I examine current classifications of hallucination and omission in Data-text NLG, and I propose a logic-based synthesis of these classfications. I conclude by highlighting some remaining limitations of all current thinking about hallucination and by discussing implications for LLMs.
I didn't realize the above was a temporary URL. Here is the Arxiv link: https://arxiv.org/abs/2401.07897
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