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Mathematical Reasoning on MATH (test) (Reward, Acc (%))

80.9AccuracyReM-MoA*
-2.71618.99240.762.408May 26, 2025Jul 30, 2025Oct 4, 2025Dec 8, 2025Feb 12, 2026Apr 18, 2026Jun 23, 2026

Evaluation results

MethodLinks
ReM-MoA*Width (N)=8, Depth (L)=3, Trend=↑↑, Distilled Reviewer=true2026.0680.9—
ReM-MoA*Width (N)=7, Depth (L)=3, Trend=↑↑, Distilled Reviewer=true2026.0680.5—
ReM-MoA*Width (N)=6, Depth (L)=3, Trend=↑↑, Distilled Reviewer=true2026.0679.9—
ReM-MoA*Width (N)=5, Depth (L)=3, Trend=↑↑, Distilled Reviewer=true2026.0679.1—
ReM-MoAWidth (N)=8, Depth (L)=3, Trend=↑↑2026.0678.9—
ReM-MoAWidth (N)=7, Depth (L)=3, Trend=↑↑2026.0678.5—
ReM-MoAWidth (N)=6, Depth (L)=3, Trend=↑↑2026.0678—
ReM-MoA*Width (N)=4, Depth (L)=3, Trend=↑↑, Distilled Reviewer=true2026.0678—
ReM-MoAWidth (N)=5, Depth (L)=3, Trend=↑↑2026.0677.2—
ReM-MoA*Width (N)=3, Depth (L)=3, Trend=↑↑, Distilled Reviewer=true2026.0676.8—
AttentionMoAWidth (N)=8, Depth (L)=3, Trend=↑↑2026.0676.2—
ReM-MoAWidth (N)=4, Depth (L)=3, Trend=↑↑2026.0676.2—
AttentionMoAWidth (N)=7, Depth (L)=3, Trend=↑↑2026.0675.9—
AttentionMoAWidth (N)=6, Depth (L)=3, Trend=↑↑2026.0675.5—
ReM-MoAWidth (N)=3, Depth (L)=3, Trend=↑↑2026.0675—
AttentionMoAWidth (N)=5, Depth (L)=3, Trend=↑↑2026.0674.8—
AttentionMoAWidth (N)=4, Depth (L)=3, Trend=↑↑2026.0674—
RMoAWidth (N)=8, Depth (L)=3, Trend=↑↑2026.0673.8—
RMoAWidth (N)=7, Depth (L)=3, Trend=↑↑2026.0673.6—
RMoAWidth (N)=6, Depth (L)=3, Trend=↑↑2026.0673.3—
AttentionMoAWidth (N)=3, Depth (L)=3, Trend=↑↑2026.0673—
RMoAWidth (N)=5, Depth (L)=3, Trend=↑↑2026.0672.7—
Standard MoAWidth (N)=8, Depth (L)=3, Trend=↑→2026.0672.1—
Standard MoAWidth (N)=7, Depth (L)=3, Trend=↑→2026.0672—
RMoAWidth (N)=4, Depth (L)=3, Trend=↑↑2026.0672—
Standard MoAWidth (N)=6, Depth (L)=3, Trend=↑→2026.0671.8—
Standard MoAWidth (N)=5, Depth (L)=3, Trend=↑→2026.0671.4—
RMoAWidth (N)=3, Depth (L)=3, Trend=↑↑2026.0671—
Standard MoAWidth (N)=4, Depth (L)=3, Trend=↑→2026.0670.8—
Standard MoAWidth (N)=3, Depth (L)=3, Trend=↑→2026.0670—
TriAttentionApproach=Trig-series scoring+evict, Offload?=No, Model=Qwen3-8B, Budget=10242026.0568.4—
JF-HPOBackbone=Qwen-2.5 7B, Training Dataset=MATH2026.0668.19—
VeRL RecipeBackbone=Qwen-2.5 7B, Training Dataset=MATH2026.0663.21—
MANGOBase LLM=GPT-4o-mini2026.0558.44—
SWIFTParadigm=Proposed, Backbone=GPT-4o-mini2026.0455.14—
MANGO (Skip-2)Base LLM=GPT-4o-mini2026.0554.32—
MaASParadigm=Automated (Probabilistic Supernet), Backbone=GPT-4o-mini2026.0451.82—
MaASBase LLM=GPT-4o-mini2026.0551.82—
AFlowParadigm=Automated, Backbone=GPT-4o-mini2026.0451.28—
AFlowBase LLM=GPT-4o-mini2026.0551.28—
DyLANParadigm=Hand-craft, Backbone=GPT-4o-mini2026.0448.63—
DyLANBase LLM=GPT-4o-mini2026.0548.63—
LLM-DebateParadigm=Hand-craft, Backbone=GPT-4o-mini2026.0448.54—
LLM-DebateBase LLM=GPT-4o-mini2026.0548.54—
Plan-and-ExecuteBase LLM=GPT-4o-mini2026.0548.54—
AgentSquareParadigm=Automated, Backbone=GPT-4o-mini2026.0448.51—
AgentSquareBase LLM=GPT-4o-mini2026.0548.51—
SC (CoT×5)Paradigm=Single, Backbone=GPT-4o-mini2026.0447.91—
SC (CoT×5)Base LLM=GPT-4o-mini2026.0547.91—
GPTSwarmParadigm=Automated, Backbone=GPT-4o-mini2026.0447.88—
GPTSwarmBase LLM=GPT-4o-mini2026.0547.88—
AgentVerseParadigm=Hand-craft, Backbone=GPT-4o-mini2026.0447.35—
LLM-BlenderParadigm=Hand-craft, Backbone=GPT-4o-mini2026.0446.92—
ComplexCoTParadigm=Single, Backbone=GPT-4o-mini2026.0446.53—
CoTParadigm=Single, Backbone=GPT-4o-mini2026.0446.4—
CoTBase LLM=GPT-4o-mini2026.0546.4—
VanillaParadigm=Single, Backbone=GPT-4o-mini2026.0446.29—
IO (direct LLM invocation)Base LLM=GPT-4o-mini2026.0546.29—
Self-RefineBase LLM=GPT-4o-mini2026.0546.09—
MultiPersonaParadigm=Hand-craft, Backbone=GPT-4o-mini2026.0445.43—
MultiPersonaBase LLM=GPT-4o-mini2026.0545.43—
AutoAgentsParadigm=Automated, Backbone=GPT-4o-mini2026.0445.32—
MacNetParadigm=Hand-craft, Backbone=GPT-4o-mini2026.0445.18—
ADASParadigm=Automated, Backbone=GPT-4o-mini2026.0443.18—
ADASBase LLM=GPT-4o-mini2026.0543.18—
SEABase Model=LLaMA-3.2-1B-Instruct2025.053210.83
SFTBase Model=LLaMA-3.2-1B-Instruct2025.0527.56.19
BoN-8Base Model=LLaMA-3.2-1B-Instruct, N=82025.0519.54.84
BoN-64Base Model=LLaMA-3.2-1B-Instruct, N=642025.05167.41
BoN-32Base Model=LLaMA-3.2-1B-Instruct, N=322025.0515.56.49
RSBase Model=LLaMA-3.2-1B-Instruct2025.05131.42
ARGSBase Model=LLaMA-3.2-1B-Instruct2025.057-2.33
CBSBase Model=LLaMA-3.2-1B-Instruct2025.050.5-2.02