Research map / Probabilistic and scientific modeling / Molecules and proteins
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use sequential latent knowledge selection instead of the E2E BERT + PostKS + Copy baseline | SKT · Wizard of Wikipedia Test Unseen | knowledge accuracy: 14.1 -> 18.3 | Helped |
| use sequential latent knowledge selection instead of the E2E BERT + PostKS + Copy baseline | SKT · Wizard of Wikipedia Test Unseen | R-1: 15.6 -> 16.1 | Helped |
| add the copy mechanism (ablation) | E2E BERT + PostKS · Wizard of Wikipedia Test Unseen | R-1: 13.4 -> 15.6 | Helped |
| add the copy mechanism (ablation) | E2E BERT + PostKS · Wizard of Wikipedia Test Unseen | knowledge accuracy: 14.1 -> 14.4 | No clear effect |
| add the auxiliary knowledge loss (ablation) | SKT · Wizard of Wikipedia Test Seen | knowledge accuracy: 0.3 -> 26.8 | Helped |
| add the auxiliary knowledge loss (ablation) | SKT · Wizard of Wikipedia Test Unseen | knowledge accuracy: 0.1 -> 18.3 | Helped |
| train with fewer knowledge labels (ablation) | SKT · Wizard of Wikipedia Test Seen | knowledge accuracy: 26.8 -> 25.1; 26.8 -> 22.4; 26.8 -> 21.0 | Hurt |
| train with fewer knowledge labels (ablation) | SKT · Wizard of Wikipedia Test Unseen | knowledge accuracy: 18.3 -> 16.7; 18.3 -> 13.8; 18.3 -> 12.3 | Hurt |
| use BERT-based sentence encoding (ablation) | E2E BERT compared with E2E Transformer MemNet · Wizard of Wikipedia Test Seen | knowledge accuracy: 22.5 -> 23.7 | Helped |
Closest papers by meaning
- Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference (ICML 2023 · similarity 0.92)
- Zero-Resource Knowledge-Grounded Dialogue Generation (NeurIPS 2020 · similarity 0.90)
- KPT: Keyword-Guided Pre-training for Grounded Dialog Generation (AAAI 2023 · similarity 0.89)
- Low-Resource Knowledge-Grounded Dialogue Generation (ICLR 2020 · similarity 0.89)
- Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning (AAAI 2024 · similarity 0.88)
- Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge (AAAI 2024 · similarity 0.88)
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