Verified65% confidenceFactTime unknown
Large models are prone to 'hallucination' when handling professional domain questions, meaning they confidently provide incorrect answers.
3
Sources
65%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
AIGC到AI Agent：2025多智能体开发核心思路与实战指南
bilibili码士集团-马小雪
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Related Claims
Unverified"Hallucination" refers to models generating content that appears authoritative but is factually incorrect, with very high confidence.79% similarUnverifiedThe hallucination problem in Agents is more severe than in ordinary dialogue scenarios, because erroneous reasoning is amplified through the action chain.73% similarUnverifiedResearch indicates that models may produce unfaithful chains of thought, where the surface-level reasoning steps are inconsistent with the actual basis for decision-making.72% similarUnverified承认不知道并展示如何推理，远胜于强行编造标准答案，面试官更看重结构化解决问题能力而非记忆力71% similarUnverified模糊的Skill描述会导致模型错误认为某Skill适用于当前场景，这一现象被称为工具幻觉（Tool Hallucination）71% similar
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