Papers with alignment of queries and candidate exemplars

1 papers
Reasoning Graph Enhanced Exemplars Retrieval for In-Context Learning (2025.coling-main)

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Challenge: Existing methods focus on semantic similarity between queries and candidate exemplars, while logical connections between reasoning steps can be beneficial to depict problem-solving process.
Approach: They propose a method to retrieve exemplars with semantic and structural similarity using a graph kernel.
Outcome: The proposed method is superior to state-of-the-art retrieval-based approaches on mathematics and logical reasoning tasks.

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