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Junqi Huang

1 accepted papers

2025

GenLink: Generation-Driven Schema-Linking via Multi-Model Learning for Text-to-SQL

EMNLP 2025

Schema linking is widely recognized as a key factor in improving text-to-SQL performance. Supervised fine-tuning approaches enhance SQL generation quality by explicitly fine-tuning schema linking as an extraction task. However, they suffer from two major limitations: (i) The training corpus of small

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