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ResearchFormerly WizWand

Commonsense Generation on CommonGen Hard

87.12AccuracyQwen3-235B-A22B
74.43277.72681.0284.314Aug 19, 2025
Updated 7mo ago

Evaluation results

MethodLinks
Qwen3-235B-A22BFramework=Reference Model, Backbone Model=Qwen3-235B-A22B2025.0887.1278.22—
COCO Qwen3-8B with coco(Qwen3-8B)Framework=COCO Framework (Proposed), Backbone Model=Qwen3-8B, Monitor Model=Qwen3-8B2025.0884.7774.186.2
COCO Qwen3-8B with coco(Llama-3.1-8B)Framework=COCO Framework (Proposed), Backbone Model=Qwen3-8B, Monitor Model=Llama-3.1-8B2025.0884.574.376.5
Aflow-Qwen3-8BFramework=Multi-Agent Framework Baseline, Backbone Model=Qwen3-8B2025.0883.8969.86—
Qwen3-8BFramework=Reference Model, Backbone Model=Qwen3-8B2025.0881.1568.52—
COCO Llama-3.1-8B with coco(Llama-3.1-8B)Framework=COCO Framework (Proposed), Backbone Model=Llama-3.1-8B, Monitor Model=Llama-3.1-8B2025.0880.8158.460.63
COCO Llama-3.1-8B with coco(Qwen3-8B)Framework=COCO Framework (Proposed), Backbone Model=Llama-3.1-8B, Monitor Model=Qwen3-8B2025.0880.2863.599.5
Llama-3.1-8BFramework=Reference Model, Backbone Model=Llama-3.1-8B2025.087755.48—
Aflow-Llama3.1-8BFramework=Multi-Agent Framework Baseline, Backbone Model=Llama-3.1-8B2025.0874.9258.09—