Unverified50% confidenceFactExact time
The root cause of hallucination lies in the fact that LLMs are fundamentally predicting the next most probable token rather than looking up facts in a database.
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50%
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Long-term
Relevance
10/8/2026
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UnverifiedThe root cause of citation hallucination is that LLMs learn linguistic patterns by predicting the next word, and no factual database for real-time verification is embedded in the training process.80% similarVerifiedCitation hallucination is a special subtype of the hallucination problem in large language models, with its technical root cause being that LLMs learn the probability distribution of token sequences rather than precise memorization of real-world facts.79% 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.78% similarUnverified引用幻觉是LLM统计学习本质的必然产物，模型进行统计插值而非从真实文献数据库检索77% similarVerifiedThe root cause of AI hallucination lies in the generative mechanism of LLMs: the model is essentially performing next-token probability prediction, optimizing for linguistic coherence rather than factual accuracy.76% similar
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