Unverified50% confidenceTradeoffExact time
The final performance ceiling of the HiRe-MoMa framework is limited by the quality of the frozen base policy itself.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
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Related Claims
UnverifiedIn code benchmarks such as SWE-bench, optimizations at the framework level have an even greater impact on final scores than differences in the models' own capabilities.64% similarUnverifiedLarge models do not actively update their weights during the inference phase and remain frozen after deployment.63% similarUnverified'Slowing down' lacks an actionable definition, and no consensus has been reached on which metrics to slow (model parameter scale, training compute investment, or capability release schedules).63% similarUnverified模型性能的瓶颈不仅在于参数量，更在于表示的质量，嵌入空间坍缩的模型即使参数再多也无法充分发挥潜力62% similarUnverified提示词优化本质上是在模型能力上限内做局部调优，其收益受限于底层工程链路的稳定性62% similar
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