Unverified50% confidenceFactExact time
The Jev interface has not yet surpassed top large models in terms of pure accuracy, with a macro-F1 gap of approximately 4.35 percentage points.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
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Related Claims
UnverifiedJev achieved a median distance of only 540 meters over 30 runs, with a best result of 1,417 meters.67% similarUnverifiedThe combination of EfficientNet-B3 and SVM achieved the strongest baseline performance, with an accuracy of 96.31% and a macro F1 score of 96.36%.67% similarUnverifiedStandard Jev achieves an average macro-F1 of 62.93%, while the strongest LLM baseline achieves 67.28%.67% similarUnverifiedJev ranked at the top in the majority of benchmark test items and achieved leading results simultaneously across all three dimensions of accuracy, cost, and latency64% similarUnverifiedF16 (16-bit) precision is twice as slow as 8-bit inference but offers almost no quality improvement, and is not recommended64% similar
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