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Wizard of Wikipedia: Knowledge-Powered Conversational Agents

ICLR 2019 · Large language models › Retrieval and knowledge · approach: Explanatory and multiple-choice QA benchmarks · 623 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add retrieved knowledge conditioning to BoW MemNet (ablation)BoW MemNet · Full Wizard Test Seen, predicted knowledgeR@1: 56.1 -> 71.3Helped
Add retrieved knowledge conditioning to Transformer (ablation)Transformer with Reddit pretraining · Full Wizard Test Seen, predicted knowledgeR@1: 79.0 -> 86.8Helped
Add Reddit pretraining (ablation)Transformer knowledge selector · Knowledge Selection Unseen TestR@1: 12.2 -> 23.7Helped
Add SQuAD training after Reddit pretraining (ablation)Transformer knowledge selector · Knowledge Selection Unseen TestR@1: 23.7 -> 22.9No clear effect
Add SQuAD training to the Reddit-pretrained Transformer MemNet (ablation)Transformer MemNet · Full Wizard Test Seen, predicted knowledgeR@1: 86.8 -> 87.4Helped
Add auxiliary knowledge-selection supervision (ablation)E2E Transformer MemNet · Full Wizard Test Seen, gold knowledgeF1: 33.6 -> 35.5Helped
Add auxiliary knowledge-selection supervision (ablation)E2E Transformer MemNet · Knowledge Selection Seen TestR@1: 13.4 -> 21.1Helped
Add knowledge dropout (ablation)Two-Stage Transformer MemNet · Full Wizard Test Seen, predicted knowledgePPL: 54.8 -> 46.5Helped
Add knowledge dropout (ablation)Two-Stage Transformer MemNet · Full Wizard Test Unseen, predicted knowledgeF1: 17.4 -> 17.3Hurt
Use gold rather than predicted knowledgeGenerative Transformer Memory Network · Test SeenF1: 18.9 -> 30.6Helped
Use knowledge conditioning instead of no knowledge (ablation)Generative Transformer · Human evaluation SeenRating: 2.11 (1.11) -> 2.92 (1.33)Helped
Use knowledge conditioning instead of no knowledge (ablation)Retrieval Transformer · Human evaluation SeenRating: 3.33 (1.30) -> 3.43 (1.10)No clear effect

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