DETAIL: TaskDEmonsTrationAttributionfor InterpretableIn-contextLearning

Neural Information Processing Systems 

Firstly, many existing attribution techniques require either computing the gradients [58] or multiple queries to the model [19], both of which are slow and computationally expensive. In contrast, ICL is often applied inreal-time to a large foundation model [12] that necessitates the attribution approaches for ICL to be fast and efficient.

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