A retrieval method that uses semantically similar wrong answers as anchors to find corrective correct demonstrations improves few-shot in-context learning accuracy on seven reasoning datasets.
: Learning to solve arithmetic word problems with verb categorization
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Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples
A retrieval method that uses semantically similar wrong answers as anchors to find corrective correct demonstrations improves few-shot in-context learning accuracy on seven reasoning datasets.