Unverified50% confidenceSolutionExact time
Self-consistency prompting has the model first output a reasoning chain before aggregating an answer; research shows this is more stable on edge cases than direct majority voting.
1
Sources
50%
Confidence
Long-term
Relevance
10/3/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSelf-Consistency was proposed by Wang et al., selecting the most consistent answer by generating multiple reasoning paths and then using majority voting.76% similarUnverifiedThe generate-critique loop pattern has the model review its own or peers' outputs, which is often easier than generating the correct answer in one shot, and can significantly improve output quality while reducing hallucinations and logical errors73% similarUnverifiedWhen models are exposed to the complete timeline, they exhibit stable, hindsight-sensitive answer shifts, tending to provide answers consistent with known outcomes but not reasonable at the decision point.72% similarUnverifiedThe research predicted and verified that the more likely a candidate answer is considered by the model, the more persuasive it is, and the effectiveness of evidence depends on whether it aligns with the model's prior inclination.70% similarUnverified答案解析的鲁棒性往往直接决定评估得分，因为模型可能以多种格式表达同一答案70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/968968API
curl https://kongchang.com/api/v1/knowledge/claims/968968MCP
get_claim(id=968968)