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RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Jointly train the retriever and grounded generator (ablation) | RetGen · Reddit | BLEU-4: 2.31% -> 2.52% | Helped |
| Jointly train the retriever and grounded generator (ablation) | RetGen · arXiv | NIST-4: 1.81 -> 1.86 | Helped |
| Use four retrieved documents instead of one (ablation) | RetGen · Reddit | BLEU-4: 2.32% -> 2.52% | Helped |
| Use four retrieved documents instead of one (ablation) | RetGen · arXiv | BLEU-4: 4.19% -> 4.35% | Helped |
| Add MMI reranking (ablation) | RetGen · Reddit | NIST-4: 2.42 -> 2.46 | Helped |
| Add MMI reranking (ablation) | RetGen · Reddit | BLEU-4: 2.52% -> 1.70% | Hurt |
| Add MMI reranking (ablation) | RetGen · arXiv | BLEU-4: 4.35% -> 3.32% | Hurt |
| Add MMI reranking (ablation) | RetGen · arXiv | Dist-2: 46.0% -> 59.0% | Helped |
| Use RetGen with retrieved documents instead of GPT-2 | Text generation · arXiv | BLEU-4: 3.81% -> 4.35% | Helped |
| Use RetGen with retrieved documents instead of DialoGPT | Text generation · Reddit | NIST-4: 1.60 -> 2.42 | Helped |
| Use retrieved documents rather than an oracle document | Grounded generation · Reddit | BLEU-4: 2.57% -> 2.52% | No clear effect |
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