Replacing Training with Memory: Listwise Selection for Text-to-SQL
This work proposes a fine-tuning-free listwise selector that improves selection accuracy while maintaining efficiency and compatibility with existing large language models, and builds reusable structured memories instead of learning selection behavior as model parameters.
Yeonseok Jeong, Soyoung Yoon, Seongjun Lee et al.
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