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Found 2 papers, 1 papers with code
Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration
However, existing ICL approaches to ER typically necessitate providing a task description and a set of demonstrations for each entity pair and thus have limitations on the monetary cost of interfacing LLMs.
Few-shot Multi-hop Question Answering over Knowledge Base
In addition, in order to test the few-shot learning capability of our model, we ramdomly select 10% of the primary data to train our model, the result shows that our model can still achieves F1-score of 58. 54%, which verifies the capability of our model to process KBQA task and the advantage in few-shot Learning.
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