Unverified50% confidenceFactExact time
Large models have a hallucination problem, meaning they generate API calls that appear reasonable but do not actually exist, or incorrect function parameters
1
Sources
50%
Confidence
Long-term
Relevance
9/30/2026
First Seen
Sources
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Related Claims
VerifiedLarge models are prone to 'hallucination' when handling professional domain questions, meaning they confidently provide incorrect answers.73% similarUnverified9B级别模型精度不足，会创建函数却不声明、写出空函数，有时工具调用损坏导致Agent无法理解模型意图70% similarVerified"Hallucination" refers to models generating content that appears authoritative but is factually incorrect, with very high confidence.69% similarVerifiedHallucination refers to content generated by a model that appears plausible but is actually incorrect or fabricated, and is the most intractable technical problem with LLMs.69% similarUnverifiedUllman等人指出模型在错误信念任务经过微小变体修改后便大幅失准，暗示其依赖表面模式而非真正的心智建模69% similar
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