Sub-headline: BUPT researchers introduce SEA-SQL to tackle complex SQL generation via adaptive bias elimination and execution feedback.

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Supports execution-based metrics, multiple ground truths, LLM-as-judge, and rich error analysis. Text-to-SQL systems aim to translate natural language questions into ...

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Abstract: Data plays a crucial role in computer science, serving as its backbone in various applications. Understanding and interacting with data stored in databases often requires technical knowledge ...

Facepalm: Users have long criticized Windows 11 File Explorer as inferior to its Windows 10 predecessor. The essential tool suffers from slow launches, sluggish file searches, and delayed right-click ...

Abstract: This paper presents a novel model we called HIT-SQL to enhance text-to-SQL query generation using large language models (LLMs) with progressive active learning. HITSQL is specifically ...