Unverified50% confidenceFactExact time
学术研究已证明,同样的问题以不同方式表达,模型的回答准确率可能相差20%以上
1
Sources
50%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
LangChain Prompt Templates in Practice: Building Your Own Customizable AI JARVIS
bilibiliAI大模型-入门教程7/9/2026
Related Claims
Unverified早期研究发现同一问题用不同表述方式提问,模型性能差异可高达数十个百分点82% similarPartially VerifiedResearch shows that the output quality of the same model can vary by several times under different prompts.78% similarUnverifiedResearch shows that when two independent models give consistent answers to the same question, the accuracy rate can improve by 15–30%.77% similarVerifiedResearch shows that even the most advanced models have hallucination rates in factual question-answering tasks that still fluctuate between 5% and 20%.76% similarUnverified实验显示模型对序列首尾信息的召回率比中间位置高出20%~40%72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/463102API
curl https://kongchang.com/api/v1/knowledge/claims/463102MCP
get_claim(id=463102)