Unverified50% confidenceOpinionExact time
Hallucination is an inherent property of the probabilistic generation mechanism rather than a defect of individual models, and cannot be mitigated by increasing model parameters or prompt words.
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Long-term
Relevance
10/12/2026
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UnverifiedHallucination is not a program bug, but an inherent byproduct of the model's working mechanism of probabilistically predicting the next word.79% similarVerifiedThe root cause of LLM hallucination lies in the autoregressive generation mechanism—the model predicts the next Token based on a probability distribution rather than genuine logical reasoning.76% similarVerifiedModel hallucination refers to models generating outputs that appear plausible but are actually incorrect, requiring robust rollback, retry, and human intervention mechanisms to address.75% similarVerified大语言模型的幻觉问题源于其本质是基于统计概率的序列预测系统，生成的Token基于条件概率最大化而非真正的逻辑推理75% 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.75% similar
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