Unverified70% confidenceFactExact time
The study validates that candidate answers the model considers more probable are more persuasive, and that the effectiveness of evidence depends on whether it aligns with the model's prior inclinations.
2
Sources
70%
Confidence
Long-term
Relevance
9/8/2026
First Seen
Sources
Related Claims
Unverified研究表明校准能力与模型规模之间存在正相关，这一关系在多项实证研究中得到验证79% similarUnverified理想的假设筛选机制应综合考量新颖性、可验证性、潜在影响力与现有实验条件的匹配度77% similarUnverifiedWhen the true effect cannot be directly verified, a round of A/A testing can be run on candidate causal models first, and then the model to trust can be determined based on estimation error.77% similarUnverifiedThis experiment is based on a single model and a specific dataset, and the generalizability of the conclusions requires more verification.77% similarUnverifiedDuring model selection, it is necessary to confirm that the similarity objective function used during model training is consistent with the metric used during retrieval; otherwise, systematic bias will occur.77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/875703API
curl https://kongchang.com/api/v1/knowledge/claims/875703MCP
get_claim(id=875703)