Unverified50% confidenceFactExact time
Traditional confidence calibration methods mostly rely on model-generated output text or sequence-based probability statistics, making it difficult to capture complex failure patterns in multi-turn agent interactions.
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9/11/2026
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Unverified如果参数量充足的模型连几十个样本都无法记住，几乎可以断定存在硬性错误，如标签错位、损失函数计算错误、梯度未正确回传等77% similarUnverifiedMisrouting sends complex requests to small models with insufficient capability, producing answers that appear plausible but are actually incorrect, and the cost of this quality degradation is difficult to quantify.76% similarUnverifiedThis research conclusion refutes the popular claim that models adaptively adjust their computation based on problem difficulty.74% similar
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