Unverified50% confidenceFactExact time
Datasets with higher class granularity and a larger proportion of majority-class samples are more susceptible to membership inference attacks.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedData shows that the hiring rate for referred candidates is typically several times higher than for candidates from ordinary application channels.69% similarUnverified靶向数据工程中，针对性数据占总微调数据的 5%-15% 通常能取得良好效果，过高比例可能导致模型在其他维度退化67% similarUnverifiedSmall models are far more sensitive to data quality than large models.66% similarUnverifiedA carefully curated and deduplicated high-quality dataset can train a model of equal or even superior capability using far fewer tokens than the original scale.64% similarUnverifiedIn many evaluations conducted on small datasets, scores fluctuate by several percentage points across different runs.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1023948API
curl https://kongchang.com/api/v1/knowledge/claims/1023948MCP
get_claim(id=1023948)