Unverified50% confidenceFactExact time
NoteBank's additional compute is at most 0.025% of the analysis FLOPs.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAt small scale, the FLOPs share of the MLP layer is approximately 44%, rising to approximately 80% when scaled to 175B parameters60% similarUnverifiedThe example model in the article has approximately 110,000 total parameters, with the Attention module accounting for 16,000 and the FFN accounting for 33,000.56% similarUnverified探索性能上界实验发现现有验证粒度并非最优，理想情况下计算量（FLOPs）可减少75倍，同时准确率提升1.1%56% similarUnverifiedThe core of evaluation is scoring, typically expressing the quality of results using a continuous value from 0 to 1.56% similarUnverifiedAlmost all useful optimization value is concentrated in the reflection/control slot, whose leave-one-in gain is as high as +0.119, while the independent contributions of the other three slots are nearly zero.55% similar
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