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Jeeves. Reasoning improves Jev-like decision models
Jeeves is a reasoning Jev-style classifier that utilizes a diffusion drafter and is trained with SFT and CISPO. It demonstrates significant improvements across various benchmarks compared to Kev-9B Jev models. For instance, Jeeves achieved an "overall Test" score of 0.889, a "Transfer overall" score of 0.800, and a "JevBench overall" score of 0.935. It also showed strong performance in specific tasks like QNLI (0.925), SciQ (0.991), and MMLU (0.900), indicating enhanced decision-making capabilities.
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IngestedOffset at this time: UTC+0Sep 29, 2026, 12:00 UTC
- Ingested
- Sep 29, 2026, 12:00
- Source type
- Dev community
- Basis
- Running about 3.6× the median of this source's recent listed items
- Triggering item
- Jeeves. Reasoning improves Jev-like decision models
- Metric comparison
- 232 vs median 65 (20 baseline samples)
- Detected
- 09/29, 19:00
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