The gap between human and AI performance on database tasks will shrink over time, but more complex problems will still ...

We introduce a biologically inspired bird-flocking experimental framework for text summarization that identifies the most salient sentences using contextual information, sentence position, and ...

在全球SQL诊断领域最具挑战性的基准测试中，一款由中国移动自主研发的智能数据分析体“九天AlphaData”脱颖而出，成功登顶BIRD-CRITIC榜单。这一成绩不仅彰显了中国移动在复杂数据分析场景下的技术实力，更标志着其核心能力已达到国际领先水平。 BIRD-CRITIC基准测试由香港大学STAR实验室与Google ...

A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...

Discover how Tinker and Ray are utilized to fine-tune text-to-SQL models, enhancing AI capabilities in generating efficient SQL queries. In an innovative approach to advancing text-to-SQL models, ...

Abstract: Text-to-SQL enables non-experts to retrieve data from databases by converting natural language queries into SQL. However, state-of-the-art text-to-SQL studies rely on the BIRD dataset, which ...

We are pleased to release BIRD-Mini-Dev V2, which contains 780 text-to-SQL instances. Among these, 500 high-quality SELECT-only instances are carefully selected from the original BIRD-Dev dataset.

While data warehouses and cloud-native architectures have grown rapidly, business users are still finding it difficult to reach enterprise data. Even as dashboards and query tools become easier to use ...