Unverified50% confidenceBenchmarkExact time
When the driver pool expands from 10 to 45 drivers, TEMPEST drops by only 4.3 percentage points, while the supervised triplet-loss baseline drops by 22 percentage points and the unsupervised triplet-loss baseline drops by 32.5 percentage points.
1
Sources
50%
Confidence
Long-term
Relevance
10/7/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn the experiment, after prompts exceeded 50, the human interception rate dropped sharply from 17% to 5%, reflecting the phenomenon of approval fatigue.68% similarUnverified在评估阶段对候选关系标签进行随机打乱后,该模型的F1从37%骤降到14%67% similarVerifiedDistilBERT reduces BERT's parameter count by 40% through distillation, increases inference speed by 60%, and incurs only approximately 3% performance loss66% similarVerifiedFor models with more than 30B parameters, the performance loss caused by 4-bit quantization typically results in a 1–3% drop on benchmarks, but the impact is more significant for smaller models.66% similarVerifiedIn long-chain tasks, if each step has an error rate of approximately 5%, the overall success rate may drop to below 36% after 20 steps.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/983178API
curl https://kongchang.com/api/v1/knowledge/claims/983178MCP
get_claim(id=983178)