Unverified50% confidenceFactExact time
The average gain during the evolution phase was +3.11 points, but whether that gain generalizes is a question the feedback gate cannot answer reliably.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedImprovements in intelligence are often accompanied by nonlinear cost increases; upgrading from a mid-tier model to a top-tier model may raise benchmark scores by only a few percentage points, but calling costs can multiply several times over.67% similarUnverifiedCompared to the original weight averaging, the final solution improved mean mIoU by approximately three points, but certain stacked combinations actually decreased the score, meaning more is not always better.66% similarUnverifiedEvolveTrade outperforms fixed-strategy LLM baselines on both Sharpe ratio and cumulative return in most evaluated settings.66% similarUnverifiedAt a 1% false positive rate, adding routing telemetry improved the true positive rate by 2.7 to 9.4 percentage points.64% similarUnverified63%的提升幅度是相对于基线的相对提升,而非绝对准确率的提升64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1038295API
curl https://kongchang.com/api/v1/knowledge/claims/1038295MCP
get_claim(id=1038295)