Unverified50% confidenceFactExact time
Abstractive summarization may introduce hallucinations, where the model fabricates content that does not exist in the original text.
1
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50%
Confidence
Long-term
Relevance
9/24/2026
First Seen
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Related Claims
UnverifiedGenerative summarization may introduce information not present in the source text — known as factual drift — because models reorganize content in their own language.78% similarUnverified大语言模型会编造看似真实、实则不存在的文献引用，这种现象被称为「引用幻觉」（citation hallucination）76% similarUnverified即使输入完全无意义的假词，文生图模型也不会拒绝处理，而是通过BPE拆解为已知子词并生成看起来连贯的角色图像75% similarUnverifiedThe hallucination problem in large language models can lead to the generation of fabricated references that have the correct format but cannot be found in real databases.74% similarVerifiedThe hallucination problem in large language models is typically divided into two categories: intrinsic hallucination and extrinsic hallucination, where intrinsic hallucination refers to generated content that directly contradicts the input data, and extrinsic hallucination refers to generated information not mentioned in the input and impossible to verify.73% similar
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