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Found 2 papers, 2 papers with code
MetaXLR -- Mixed Language Meta Representation Transformation for Low-resource Cross-lingual Learning based on Multi-Armed Bandit
We follow the work of MetaXL which suggests using meta learning for transfer learning from a single source language to an extremely low resource one.
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary
We leverage this insight and propose a simple way to enrich query and passage representations with lexical information at inference time, and show that this significantly improves performance compared to the original model in zero-shot settings, and specifically on the BEIR benchmark.
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