Conversational Response Selection On Rrs 1
Metrics
NDCG@3
NDCG@5
Results
Performance results of various models on this benchmark
Model Name | NDCG@3 | NDCG@5 | Paper Title | Repository |
|---|---|---|---|---|
| BERT-FP | 0.609 | 0.709 | Fine-grained Post-training for Improving Retrieval-based Dialogue Systems | |
| BERT | 0.625 | 0.714 | An Effective Domain Adaptive Post-Training Method for BERT in Response Selection | - |
| Poly-encoder | 0.679 | 0.765 | Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring | - |
| SA-BERT+BERT-FP | 0.674 | 0.753 | Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots | - |
0 of 4 row(s) selected.