Unverified50% confidenceFactExact time
Groundedness measures what proportion of a model's generated answer can be supported by the retrieved context documents, and is used to detect model hallucinations.
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10/12/2026
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VerifiedThe technical root cause of hallucination in large models lies in the autoregressive generation mechanism, where the model predicts only the statistically most likely next token based on the preceding context; researchers divide hallucinations into intrinsic hallucinations and extrinsic hallucinations.76% similarUnverified单一 prompt 要求模型同时完成数据采集、模式发现、批判验证和结论收敛，往往导致幻觉叠加73% similarUnverifiedThe core assumption of the research is that the residual stream representations inside the model have already implicitly encoded information about whether a task will succeed.73% similarVerifiedHallucinations stem from the model's optimization objective itself—the model is trained to generate linguistically coherent and statistically plausible continuations, not factually accurate answers.72% similarUnverified来源标注（Citation）通过追踪回答片段对应的原始文档位置，是解决大模型幻觉问题的关键工程手段72% similar
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