Unverified50% confidenceFactExact time
LLM agents often share similar training data, similar prior biases, and similar hallucination tendencies, causing their errors to be highly correlated.
1
Sources
50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
Sources
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Related Claims
UnverifiedLLMs may make incorrect judgments due to hallucinations, prompt injection, or contextual misunderstanding, and without independent verification mechanisms, faulty reasoning can directly translate into erroneous production operations76% similarUnverified行为克隆(BC)存在复合误差与分布偏移问题,智能体偏离训练分布后预测误差会指数级累积75% similarVerifiedThe three main causes of hallucinations in large models are training data noise, the probability-first mechanism, and insufficient data timeliness.75% similar
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