Verified65% confidenceFactExact time
Hallucination refers to large language models generating content that does not actually exist or contradicts the facts, delivered in a highly confident tone.
3
Sources
65%
Confidence
Long-term
Relevance
9/26/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedEarly large language models suffered from serious overconfidence, tending to give definitive statements even for uncertain answers, which is the hallucination phenomenon.78% similarVerified研究表明大语言模型规模越大，幻觉的伪装性往往越强，能生成更连贯、更具说服力的错误内容77% similarVerified'Hallucination' refers to large language models generating plausible-sounding but factually incorrect content with high confidence75% similarUnverified大语言模型在涉及高度专业的化学、生物或网络安全操作时，极易产生听起来可信但存在关键错误的幻觉输出75% 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.74% similar
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