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The XRICL framework, which utilizes cross-lingual retrieval-augmented in-context learning with English and global translation exemplars, effectively enables large language models to perform zero-shot cross-lingual Text-to-SQL semantic parsing and outperforms existing baselines. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing

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