Reviewer Recommendation (Task 3) on OmniReview
0.8114MAPPro-MMoE
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Pro-MMoEMethod Category=LLM-based+MMoE2026.02 | 0.8114 | 0.7 | 0.8564 | 0.8724 | 0.9735 | |
| CoFMethod Category=Multi-Embedding2026.02 | 0.7194 | 0.5972 | 0.7586 | 0.8021 | 0.9239 | |
| TF-IDFMethod Category=Statistic2026.02 | 0.7064 | 0.5746 | 0.7557 | 0.7946 | 0.9168 | |
| SPECTER2Method Category=Embedding2026.02 | 0.6875 | 0.5552 | 0.7341 | 0.7797 | 0.8956 | |
| Qwen3-4BMethod Category=Embedding2026.02 | 0.6745 | 0.5405 | 0.7223 | 0.7708 | 0.9097 | |
| BGE-M3Method Category=Embedding2026.02 | 0.651 | 0.5153 | 0.6972 | 0.7531 | 0.9044 | |
| LLM-as-JudgeMethod Category=LLM-based2026.02 | 0.6306 | 0.4931 | 0.6934 | 0.7406 | 0.8549 | |
| SciBERTMethod Category=Embedding2026.02 | 0.5658 | 0.395 | 0.6058 | 0.6898 | 0.8885 | |
| RGCNMethod Category=Graph2026.02 | 0.533 | 0.364 | 0.5517 | 0.6612 | 0.8779 | |
| Dual-towerMethod Category=Bi-encoder2026.02 | 0.4163 | 0.2053 | 0.4163 | 0.5534 | 0.7115 |