Unverified50% confidenceFactExact time
AMM conducted a pre-registered development loop on the bbob benchmark, and 32 of 36 predictions held in the subsequent 16 confirmations.
1
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50%
Confidence
Long-term
Relevance
11/5/2026
First Seen
Sources
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Related Claims
UnverifiedAMM was tested once on held-out bbob instances 101-110 (D=2-40, budgets 10*D to 1000*D) against up to seven competitors; across 600 function-dimension-budget cells, AMM had the highest objective share in 382 cells (236 outright, 146 tied).66% similarUnverifiedUnder an 18k character budget, anchored hybrid retrieval achieved 36.18% accuracy, BM25 achieved 35.98%, while the best direct planner-guided method reached only 34.19%.61% similarUnverified2.4万亿参数模型在BF16精度下考虑KV Cache和激活值后实际约需1.4-1.5TB显存61% similarUnverifiedOn Make, the lead scoring workflow consumes an average of 34 operations per lead.60% similarUnverifiedUsing a 4B model to rerank the candidate shortlist filtered by BM25 outperformed BM25 alone (+0.047, confidence interval [0.020, 0.073]), even though the 4B reranker itself did not pass qualification.60% similar
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