English(EN) RAS: Reflection-Augmented Scaling with In-Context Learning for Executable Cypher Query Generation

新的 RAS 方法提高了语言模型 Cypher 查询的准确性

作者 PulseAugur 编辑部 · [2 个来源] · 2026-05-21 18:14

研究人员开发了一种名为反射增强缩放（RAS）的新方法，以提高语言模型生成属性图数据库 Cypher 查询的准确性。RAS 利用查询执行失败的错误消息作为反馈来改进后续尝试，这是一种不同于简单重采样的手法。与独立缩放方法相比，这种方法显著减少了查询执行错误。 AI

影响增强了 LLM 在结构化数据查询方面的可靠性，有望改进数据库交互工具。

排序理由该集群包含一篇详细介绍改进语言模型性能的新方法的论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.CL TIER_1 English(EN) · Minseok Jung, Abhas Ricky, Muhammad Rameez Chatni · 2026-05-25 04:00

RAS: Reflection-Augmented Scaling with In-Context Learning for Executable Cypher Query Generation

arXiv:2605.22937v1 Announce Type: new Abstract: Inference-time scaling can reduce errors in structured query generation, but methods to allocate the compute for query code generation remains underexplored. We study Text2Cypher, where language models generate Cypher queries that e…
arXiv cs.CL TIER_1 English(EN) · Muhammad Rameez Chatni · 2026-05-21 18:14

RAS: Reflection-Augmented Scaling with In-Context Learning for Executable Cypher Query Generation

Inference-time scaling can reduce errors in structured query generation, but methods to allocate the compute for query code generation remains underexplored. We study Text2Cypher, where language models generate Cypher queries that execute against property graph databases. Non-exe…