Unverified50% confidenceFactExact time
The hallucination problem in large language models can lead to the generation of fabricated references that have the correct format but cannot be found in real databases.
1
Sources
50%
Confidence
Long-term
Relevance
9/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLarge language models generate fabricated content (hallucinations) with high confidence, including inventing non-existent tool names and forging API return results78% similarVerifiedThe reason large language models fabricate references is that they generate text based on probability rather than database retrieval, a phenomenon known as AI hallucination.77% similarVerifiedLarge language models have hallucination defects in code generation scenarios, manifested as referencing non-existent library functions and generating syntactically correct but logically erroneous code.74% similarUnverifiedGenerative summarization may introduce information not present in the source text — known as factual drift — because models reorganize content in their own language.74% similarUnverifiedLarge language models read the main body content and structured data of web pages, not the meta description summaries in search results.73% similar
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