Unverified50% confidenceBenchmarkExact time
On six public text decision benchmarks, the six-group mean of the JEV-27B / JEV-27B-VL rows is 84.07%, higher than the 83.85% of the TypeSafe Jev 1.13 hosted API and the 77.70% of NeoHorse-Jev-4B.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/17/2026
First Seen
Valid until: 1/15/2027
Sources
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Related Claims
UnverifiedOn VL-RewardBench, JEV-27B-VL achieves an overall accuracy of 78.3%, 83.2% on hallucination items, 78.2% on reasoning items, and 58.0% on general questions.69% similarUnverifiedpplx-decider-v1-27b achieved an average score of 85.7% across 11 benchmarks, outperforming the comparison target Jev (official data).68% similarUnverifiedOn the 112 short cases, hosted Jev and PPLX each scored 112, NeoHorse and Clef each scored 104, Flash and Omni each scored 102, Jeff 2B scored 94, Jeff 0.8B scored 77, Laya Typed scored 52, Laya scored 46, and Laya Multilingual scored 25.67% similarUnverifiedOn a pure parity task, GAN8 achieved 100%, JEV MLP achieved 67%, and JEV linear achieved 33%.67% similarUnverifiedIn the MicroLens-100k evaluation, JEV-27B-VL using only cover-image scoring reached 0.727 AUC and 0.590 HR@5 among 20 candidates, while collaborative filtering trained on the history of 59,045 users achieved 0.728 AUC and 0.490 HR@5.65% similar
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