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Training ML Models with Predictable Failures
提出有限k分解方法，预测机器学习模型部署时的失败率，提升安全评估可行性。
arXiv:2605.15134v2 Announce Type: replace Abstract: Estimating how often an ML model will fail at deployment scale is central to pre-deployment safety…
提出有限k分解方法，预测机器学习模型部署时的失败率，提升安全评估可行性。
arXiv:2605.15134v2 Announce Type: replace Abstract: Estimating how often an ML model will fail at deployment scale is central to pre-deployment safety…