Agentic Workflow Performance Prediction on FLORA-Bench Reason-AF 1.0 (test)
87AccuracyGLOW
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GLOWbase_LLM=Qwen3-1.7B, GNN=two-layer GAT, SBERT=all-MiniLM-L6-v22025.12 | 87 | 90.5 | |
| Agentic Predictor2025.12 | 85.7 | 88.1 | |
| GCNII2025.12 | 85.2 | 87.5 | |
| GCN2025.12 | 85.1 | 86.6 | |
| Graph Transformer2025.12 | 85.1 | 86.9 | |
| GAT2025.12 | 85 | 87.4 | |
| One-For-All2025.12 | 84.3 | 86.3 | |
| Qwen3base_model=Qwen3-1.7B, fine-tuned=true2025.12 | 84.1 | 88.7 |