Unverified50% confidenceFactExact time
The more vague the question, the more the model tends to output statistically common, mediocre answers; the more precise the constraints, the closer the output is to the specific requirement.
1
Sources
50%
Confidence
Long-term
Relevance
9/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe vaguer the prompt, the more the model output collapses toward high-probability regions, and the stronger the consistency.77% similarUnverifiedMost LLMs exhibit a 'verbosity preference,' tending to rate longer and more detailed answers higher even if those answers are not necessarily more accurate75% similarUnverifiedGiving models vague instructions leads to vastly different outputs with low comparability, so evaluations should use very specific prompts.74% similarUnverified优质Prompt在大多数场景下比微调更高效,在数据量不足或需求模糊的阶段贸然做微调往往事倍功半74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/930734API
curl https://kongchang.com/api/v1/knowledge/claims/930734MCP
get_claim(id=930734)