Expired50% confidenceBenchmarkExact time
Fan's team's performance upper-bound experiment found that under ideal conditions, computational FLOPs can be reduced by 75×, while accuracy improves by 1.1%.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/15/2026
First Seen
Valid until: 10/13/2026(expired)
Sources
Related Claims
Unverified探索性能上界实验发现现有验证粒度并非最优，理想情况下计算量（FLOPs）可减少75倍，同时准确率提升1.1%85% similarUnverified蒙特卡洛方法的收敛速度为O(1/√N)，精度每提高一个数量级需要样本量增加百倍66% similarUnverifiedOn the CLINC150 benchmark, 80 fine-tuning samples can bring vector routing to an accuracy of 85.9%, while a full fine-tune can exceed 96%.65% similarUnverifiedLID accuracy at switching points is typically 10–20 percentage points lower than LID accuracy at non-switching points.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/517251API
curl https://kongchang.com/api/v1/knowledge/claims/517251MCP
get_claim(id=517251)