此外,将二元选择智能体与其他两种选择方法(自一致性和排序智能体)进行比较,发现二元选择智能体的性能显著优于这两种方法,再次证明了 CHASE-SQL 框架中选择机制的有效性。 五、结论 CHASE-SQL 框架作为一种全新的文本转 框架,通过充分利用测试时计算,成功实现了生成多样化、高质量的 SQL 查询,并能准确选择正确答案。
CHASE-SQL 在 BIRD 数据集上取得了 74.79% 的准确率，超过了之前所有已发表的工作。在 Spider 数据集上，即使没有针对数据集进行专门的训练或优化，也取得了 87.6% 的好成绩。这说明 CHASE-SQL 不仅性能强悍，而且泛化能力也很强，能够适应不同的数据库环境。总之，CHASE-SQL 的出现，为文本转 SQL 领域带来...
原因在于 RAT-SQL 采用了一种基于字符串匹配的方法来寻找数据库模式和 query 提及之间的联系;然而,当许多模式在问题中没有被准确提及时(例如涉及语义推理),这种方法就会陷入困境;CHASE中的模式链接标注信息为未来解决这一问题提供了帮助。
However, we identify two biases in existing datasets for XDTS: (1) a high proportion of context independent questions and (2) a high proportion of easy SQL queries. These biases conceal the major challenges in XDTS to some extent. In this ...
SQL语言 SQL的数据类型 数据类型 描述 CHARACTER(n) 字符/字符串。固定长度 n。 VARCHAR(n) 或 CHARACTER VARYING(n) 字符/字符串。可变长度。最大长度 n。 BINARY(n) 二进制串。固定长度 n。 BOOLEAN 存储 TRUE 或 FALS
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I am trying to query databases with multiple tables. Because of DB metadata, the prompt length exceeds the max token limit of 4000 of OpenAI . Do you have any ideas on how to solve this problem for databases with medium to large metadata? I have tried it for Postgrsql and Presto. ...
How to Recover a Stored Password from HeidiSQL Oct 2015 It happens to all of us. Maybe you trashed the sticky note you wrote the password on. Maybe someone on your dev team changed the database connection credentials and forgot to tell you. Maybe it's been a while since you last ...
System Info LangChain 0.0.204, Windoews, Python 3.9.16, SQLAlchemy 2.0.15 db = SQLDatabase.from_uri( oracle_connection_str, include_tables=["EVR_REGION"], sample_rows_in_table_info=3, ) Getting following error: Traceback (most recent cal...
Paper tables with annotated results for CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL