Unverified50% confidenceFactExact time
Closed-loop success rates systematically overestimate the rankability of frozen latent representations.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
Unverified跑分优秀不等于实战能力强，模型可能存在基准过拟合（Benchmark Overfitting）现象70% similarUnverifiedOverfitting is the most common pitfall in quantitative strategy development and can result in excellent backtesting performance but severe losses in live trading.70% similarVerifiedExcessive safety fine-tuning can cause models to over-refuse, undermining their practical utility.69% similarUnverifiedExcessive domain randomization can cause policies to become overly conservative and degrade in performance; system identification requires extensive engineering measurement work and is difficult to cover all physical parameters.69% similarUnverifiedDrift detection involves a trade-off: setting the threshold too sensitively leads to frequent false alarms and unnecessary retraining, while setting it too loosely may allow model performance to continuously degrade without being detected.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/895200API
curl https://kongchang.com/api/v1/knowledge/claims/895200MCP
get_claim(id=895200)