Efficient Ambiguity Resolution via Information-Guided Clarification for Text-to-SQL
This work presents an interactive Text-to-SQL framework that models SQL generation as probabilistic reasoning over multiple candidate queries and selects clarification questions based on the principle of Expected Information Gain, providing an information-theoretic criterion for prioritizing high-impact clarifications...