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The phenomenon in linguistics whereby a model's performance degrades on data outside its training distribution is called 'Domain Shift.'
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10/11/2026
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VerifiedData Drift refers to the continuous degradation of model performance without any errors when the statistical properties of real online data deviate from the training set.77% similarUnverifiedContext confusion produces narrow misalignment, where misalignment is concentrated in specific domains semantically close to the training data, rather than a broad degradation of the model's overall behavior.75% similarUnverifiedAt equivalent parameter scales, diffusion language models typically still lag behind mature autoregressive models in perplexity and downstream task performance.74% similarUnverifiedCopilot 基于统计模式预测，训练数据中出现频次较低的技术配置生成质量会显著下降74% similarUnverifiedExperiments show that after only a few generations of self-training, the variance of model outputs drops sharply and the text tends toward homogeneity72% similar
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