Unverified50% confidenceFactExact time
Explainability focuses on helping users understand why a model produced a certain result, while traceability concerns where the result came from — the two are related but distinct concepts.
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9/23/2026
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Unverified与传统可解释性方法（如特征重要性、显著图）不同，机制可解释性追求对模型内部计算的完整逆向75% similarUnverifiedThe study found that even when prompts explicitly instruct the model to answer from a prospective perspective, the model is still influenced by outcome information already present in the context, and physical truncation is the effective means of blocking hindsight bias.75% similarUnverifiedThe prompt determines what the model hears, while context determines what the model sees; the two are different concepts.75% similarUnverifiedSemantic models are primarily designed for human analysts, assuming that users already have the background knowledge to understand field naming and hierarchical relationships.74% similarUnverified可说明性（Explainability）催生了LIME、SHAP等事后归因方法，面向外部用户回答为什么模型给出该输出74% similar
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