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.
Neural Information Processing Systems
Feb-10-2026, 08:02:20 GMT
- Country:
- Asia > Singapore (0.04)
- North America > United States
- Massachusetts > Middlesex County > Cambridge (0.04)
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- Research Report (0.67)
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