Unverified50% confidenceFactExact time
Applying synonym substitution or sentence restructuring to text significantly alters the perplexity distribution, causing perplexity-based detection to fail.
1
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50%
Confidence
Long-term
Relevance
9/22/2026
First Seen
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Related Claims
Verified困惑度（Perplexity）是自然语言处理领域衡量语言模型对文本意外程度的核心指标，困惑度越低文本越可预测78% similarUnverifiedText generated by large language models tends to have low perplexity, with word choices that are overly consistent with probabilistic expectations, lacking the unexpectedness of human writing.78% similarUnverified传统并行草拟机制存在「后缀衰减」问题，批量预判的字符无法同步适配实时更新的语境，可能拼接出不通顺的错误文本76% similarVerifiedPerplexity measures a language model's ability to predict test text; the lower the value, the less surprised the model is by the text.73% similarUnverifiedThe cascaded architecture has a flaw: each stage introduces latency, and the intermediate text conversion loses paralinguistic information such as tone, emotion, and speech rate.71% similar
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