Unverified50% confidenceTradeoffExact time
For cell types or species underrepresented in the training data, the reliability of predictions from such models decreases significantly.
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50%
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Long-term
Relevance
9/16/2026
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Unverified即使只有5-10%的训练样本存在错位，也会导致VLM模型在下游任务上出现显著的性能退化73% similarUnverifiedAnthropic's research shows that even mild alignment training can cause a 2–8 percentage point decline in model performance on certain reasoning-intensive tasks.73% similarUnverifiedIn 2023, researchers demonstrated that contaminating less than 1% of training data is sufficient to alter model behavior under specific trigger conditions72% similarUnverifiedPopulation risk refers to the expected loss of a model over the entire data-generating distribution, while empirical risk is the average loss computed over a finite training sample.71% similarUnverifiedThe pre-training validation loss across the three generations of models shows a steady downward trend: 2.87 → 2.78 → 2.59.70% similar
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