Misinformation Detection on Amazon
0.9715AccuracyPAMAS
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| PAMASCategory=Multi-Agent Method2026.02 | 0.9715 | 0.9477 | 0.9852 | 0.9661 | 0.9735 | |
| DyLANCategory=Multi-Agent Method2026.02 | 0.9454 | 0.9456 | 0.9696 | 0.9535 | 0.9635 | |
| NFGCN-TIACategory=Deep Learning Method2026.02 | 0.9412 | 0.9324 | 0.9543 | 0.9445 | 0.9464 | |
| TreeCategory=Multi-Agent Method2026.02 | 0.9375 | 0.9484 | 0.9274 | 0.9355 | 0.9535 | |
| LayerCategory=Multi-Agent Method2026.02 | 0.9347 | 0.9385 | 0.9464 | 0.9389 | 0.9683 | |
| GraphCategory=Multi-Agent Method2026.02 | 0.9325 | 0.9473 | 0.9599 | 0.9527 | 0.9696 | |
| MLPCategory=Deep Learning Method2026.02 | 0.9235 | 0.9023 | 0.8823 | 0.8913 | 0.9224 | |
| ChainCategory=Multi-Agent Method2026.02 | 0.9151 | 0.9234 | 0.9025 | 0.9124 | 0.9584 | |
| StarCategory=Multi-Agent Method2026.02 | 0.9135 | 0.9337 | 0.9186 | 0.9234 | 0.9653 | |
| Vanilla-AgentCategory=Multi-Agent Method2026.02 | 0.9123 | 0.9047 | 0.8976 | 0.8987 | 0.9135 | |
| Vanilla-LLMCategory=Multi-Agent Method2026.02 | 0.8956 | 0.8765 | 0.8856 | 0.8788 | 0.8832 |