Unverified50% confidenceCautionExact time
直接让 LLM 生成 SQL 风险很高，因为模型不了解表结构、字段含义和业务定义，容易生成语法正确但结果错误的查询
1
Sources
50%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
Unverified大模型在Text-to-SQL场景中面临幻觉问题，可能生成语法正确但表名/列名错误的SQL80% similarUnverifiedLLM幻觉问题源于模型基于概率预测生成文本而非检索真实数据，在涉及具体统计数字、引文来源和法律条款时尤为危险74% similarUnverifiedPrompt injection is essentially an instruction hijacking attack that exploits the structural flaw of LLMs being unable to distinguish system instructions from user data at the semantic level, and is conceptually similar to SQL injection.70% similarUnverified研究表明LLM生成的代码在SQL注入、XSS防护、密钥硬编码等方面的错误率显著高于有经验的人类开发者69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/593778API
curl https://kongchang.com/api/v1/knowledge/claims/593778MCP
get_claim(id=593778)