Unverified50% confidenceFactExact time
Process hallucination refers to a failure mode in which the model's individual sentences are fluent, reasonable, and factually correct, but deviate from the dialogue flow it should have followed.
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50%
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Long-term
Relevance
10/16/2026
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Related Claims
VerifiedModel hallucination refers to models generating outputs that appear plausible but are actually incorrect, requiring robust rollback, retry, and human intervention mechanisms to address.80% similarVerified幻觉（Hallucination）指大语言模型生成看似合理但实际错误或无依据的内容，是当前所有LLM的共性问题，根源在于模型本质上是基于概率的文本生成器而非知识检索系统75% similarVerified大模型幻觉是指语言模型生成看似合理但实际不正确或不存在的内容74% similarVerifiedHallucinations stem from the model's optimization objective itself—the model is trained to generate linguistically coherent and statistically plausible continuations, not factually accurate answers.73% similarVerifiedThe technical root cause of hallucination in large models lies in the autoregressive generation mechanism, where the model predicts only the statistically most likely next token based on the preceding context; researchers divide hallucinations into intrinsic hallucinations and extrinsic hallucinations.72% similar
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