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Ambyerhan

1 accepted papers

2025

Learning to Rank for In-Context Example Retrieval

NeurIPS 2025poster

Recent advances in retrieval-based in-context learning (ICL) train the retriever using a classification objective, which categorizes in-context examples (ICEs) into the most useful and the rest based on absolute scores. However, during inference, ICEs are retrieved by score ranking rather than class…

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