Papers with abbreviation

2 papers
You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL (2025.naacl-long)

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Challenge: Existing text-to-SQL systems encode the same schema for every question, resulting in unnecessary high inference cost and missing crucial database knowledge.
Approach: They propose a paradigm that directly internalizes database knowledge into the parametric knowledge of a text-to-SQL model during training and eliminates the need for schema encoding during inference.
Outcome: The proposed paradigm significantly reduces the input token length by 66%-98% and outperforms traditional systems on three benchmarks.
A Chinese Dataset with Negative Full Forms for General Abbreviation Prediction (L18-1)

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Challenge: a common phenomenon across languages is abbreviation, but it's not always possible to predict it accurately.
Approach: They build a dataset for general Chinese abbreviation prediction using a negative full form . they find that abbrevation prediction can improve the performance of abbreviation recognition .
Outcome: The proposed dataset evaluates models on abbreviation prediction in Chinese . it shows that abbrevation prediction improves performance in language processing tasks .

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