Construct · 1 fields · 1 citations
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In natural language processing, imitative falsehood refers to a false answer a language model gives because it reproduces common human misconceptions present in its training text. This meaning comes from Lin (2022) in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).[1]
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