Unverified50% confidenceSolutionExact time
Splitting multiple criteria into independent prompt calls eliminates mutual interference between criteria and reduces cross-contamination, but at higher cost.
1
Sources
50%
Confidence
Long-term
Relevance
10/3/2026
First Seen
Sources
Related Entities
Related Claims
Unverified结构化、上下文丰富的提示不仅提升模型输出质量，也能显著降低安全分类器的误触发率70% similarUnverifiedClearer and more structured prompts can reduce extra token consumption caused by repeated corrections69% similarUnverifiedTargeted alignment data—supplementing alignment samples specifically tailored to the domains where misalignment occurs—can significantly reduce context confusion.69% similarUnverified规则层不应堆砌过多规则，规则越多维护成本越高且容易造成误判68% similarUnverifiedSplitting large changes into small, independently reviewable PRs is a pragmatic strategy for proactively lowering the barrier for humans to review AI-generated output.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/968966API
curl https://kongchang.com/api/v1/knowledge/claims/968966MCP
get_claim(id=968966)