Unverified50% confidenceBenchmarkExact time
In the fourth round of fusion experiments, treating JEV as the 9th framework and taking the highest score yielded an overall accuracy of 81.5%, but parity dropped back to 50%.
1
Sources
50%
Confidence
Long-term
Relevance
9/21/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn the first round of 34 logical reasoning questions, a single-head model similar to JEV achieved an accuracy of 94.12%, while GAN8 achieved 93.01%, nearly tied.75% similarUnverifiedFor the 7B model, accuracy with the solver was 75.31% versus 72.02% for direct calculation, a paired improvement of +3.29 percentage points, with a 95% cluster interval of [-3.49, 10.38] crossing zero, making the advantage non-significant.70% similarUnverifiedA fusion strategy that prioritizes JEV and only hands off when confidence is below 0.7 collapses into JEV, with approximately 70% of questions never leaving JEV and an ECE of approximately 0.25.68% similarUnverifiedTop academic deepfake detectors can see their accuracy plummet from 99% to below 60% when faced with previously unseen generative models, a phenomenon known as the cross-model generalization problem.67% similarUnverifiedIn the experiment, unit completion accuracy increased from 72.4% to 84.9%, a gain of 12.5 percentage points.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/939311API
curl https://kongchang.com/api/v1/knowledge/claims/939311MCP
get_claim(id=939311)