Verified80% confidenceFactTime unknown
LLM幻觉（Hallucination）是大语言模型的已知问题，会导致AI生成不准确的内容
8
Sources
80%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
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Related Claims
Unverified'Hallucination' refers to large language models generating plausible-sounding but factually incorrect content with high confidence79% similarUnverified当需求存在逻辑矛盾或业务知识缺失时，大语言模型因缺乏真实世界反馈机制存在产生幻觉（Hallucination）的风险77% similarVerifiedLarge language models are prone to forgetting early information or hallucinating during long conversations, which in programming manifests as fabricating non-existent APIs or generating logically incorrect code.75% similarUnverifiedEarly large language models suffered from serious overconfidence, tending to give definitive statements even for uncertain answers, which is the hallucination phenomenon.73% similar
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