BART for Knowledge Grounded Conversations

By Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans. 2020

22 citations recorded by the source corpus.

Subfields: Natural Language Processing, Dialogue & Conversational AI

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Jason Aaron Edward Weston
2. Kurt Shuster
3. Douwe Kiela
4. Mohit Bansal
5. Emily Dinan
6. Christopher D. Manning
7. Arthur Szlam
8. Y-Lan Boureau

In Dialogue & Conversational AI

1. Kurt Shuster
2. Mojtaba Komeili
3. Jason Aaron Edward Weston

Citations in the corpus

• You Only Need One Model for Open-domain Question Answering (2021, positive): “Similar to our work, Bruyn et al. (2020) and TREAD (Shuster et al., 2021) utilize BART and T5 reader’s encoders as a retriever.”
• Retrieval Augmentation Reduces Hallucination in Conversation (2021, background): “However, prior work has demonstrated that the generator models encode enough information in the context representations to act as quasi-retrievers themselves ((Fan et al., 2021; Khandelwal et al., 2020; Bruyn et al., 2020; Khandelwal et al., 2021).”
• Internet-Augmented Dialogue Generation (2021, background): “Other works (Zhao et al., 2020; Kim et al., 2020; Bruyn et al., 2020) study whether knowledge selection is possible from a (small) set of knowledge.”