Abstract: Large Language Models have greatly enhanced the Text-to-SQL task. In this paper, we propose AES-SQL, an LLM-based approach based on few-shot Learning. We adjust the structure of the adaptive ...
Abstract: The rise of large language models has been transformative for Text-to-SQL, yielding notable achievements. To further elevate model performance in this domain, this paper proposes a ...
CONSTRAINT pk_part_of PRIMARY KEY (q_id, e_id), CONSTRAINT fk_part_of_q FOREIGN KEY (q_id) REFERENCES question (id), CONSTRAINT fk_part_of_e FOREIGN KEY (e_id) REFERENCES exam (id), ...
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