Commonsense Generation on CommonGen Hard
87.12AccuracyQwen3-235B-A22B
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Qwen3-235B-A22BFramework=Reference Model, Backbone Model=Qwen3-235B-A22B2025.08 | 87.12 | 78.22 | — | |
| COCO Qwen3-8B with coco(Qwen3-8B)Framework=COCO Framework (Proposed), Backbone Model=Qwen3-8B, Monitor Model=Qwen3-8B2025.08 | 84.77 | 74.18 | 6.2 | |
| COCO Qwen3-8B with coco(Llama-3.1-8B)Framework=COCO Framework (Proposed), Backbone Model=Qwen3-8B, Monitor Model=Llama-3.1-8B2025.08 | 84.5 | 74.37 | 6.5 | |
| Aflow-Qwen3-8BFramework=Multi-Agent Framework Baseline, Backbone Model=Qwen3-8B2025.08 | 83.89 | 69.86 | — | |
| Qwen3-8BFramework=Reference Model, Backbone Model=Qwen3-8B2025.08 | 81.15 | 68.52 | — | |
| COCO Llama-3.1-8B with coco(Llama-3.1-8B)Framework=COCO Framework (Proposed), Backbone Model=Llama-3.1-8B, Monitor Model=Llama-3.1-8B2025.08 | 80.81 | 58.46 | 0.63 | |
| COCO Llama-3.1-8B with coco(Qwen3-8B)Framework=COCO Framework (Proposed), Backbone Model=Llama-3.1-8B, Monitor Model=Qwen3-8B2025.08 | 80.28 | 63.59 | 9.5 | |
| Llama-3.1-8BFramework=Reference Model, Backbone Model=Llama-3.1-8B2025.08 | 77 | 55.48 | — | |
| Aflow-Llama3.1-8BFramework=Multi-Agent Framework Baseline, Backbone Model=Llama-3.1-8B2025.08 | 74.92 | 58.09 | — |