Unverified50% confidenceBenchmarkExact time
In an evaluation designed by internal experts, Keepace.ai outperforms the base model Qwen3.5-27B and larger general-purpose models on multiple metrics.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/30/2026
First Seen
Valid until: 1/28/2027
Sources
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Related Claims
UnverifiedThe paper currently validates the seven evaluations only on Qwen3.5-4B/9B, and the method's generalization capability across different model architectures and longer contexts remains to be further observed.72% similarUnverifiedMIRA's current results are based on the specific foundation model Qwen3.6-35B-A3B, and the generality of MIRA-Harness and MIRA-Data still needs to be verified on more models.67% similarUnverifiedOn six benchmarks and three Qwen3-VL model scales, under matched numbers of estimation and optimization rollouts, Timbre outperforms TTRV on 16 of 18 benchmark-model settings on adaptation instances and on 17 on held-out instances.67% similarUnverifiedThe Qwen series of models is developed by Alibaba's Tongyi Lab, with 4B and 27B representing the parameter scales.67% similar
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