Cross-domain demonstrations enable conditional positive transfer in in-context learning beyond an example absorption threshold by repairing reasoning structures instead of relying on semantic overlap.
InProceedings of the 62nd An- nual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 9090– 9101, Bangkok, Thailand
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Reason Analogically via Cross-domain Prior Knowledge: An Empirical Study of Cross-domain Knowledge Transfer for In-Context Learning
Cross-domain demonstrations enable conditional positive transfer in in-context learning beyond an example absorption threshold by repairing reasoning structures instead of relying on semantic overlap.