Unverified50% confidenceBenchmarkExact time
Experiments show that the relative performance improvement of KAN over MLP during training can reach up to 50%.
1
Sources
50%
Confidence
Long-term
Relevance
10/9/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe number of training epochs directly affects recognition performance; the more thorough the training, the higher the detection accuracy, and it is recommended to increase the number of training epochs to 20, 50, or even 10073% similarVerifiedMixed-precision training can typically increase training speed by 1.5–2 times and reduce VRAM usage by nearly half.72% similarUnverified混合精度训练在不显著损失模型精度的前提下，可将训练速度提升约2倍，显存占用降低近一半71% similarUnverifiedThe company claims that tool-call accuracy has improved by 50% through self-healing tool calls and sandboxed code execution.71% similarUnverified研究表明主动检索练习（测试效应）比单纯重读材料的学习效果高出50%以上70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/990611API
curl https://kongchang.com/api/v1/knowledge/claims/990611MCP
get_claim(id=990611)