Search Results for author:
Found 3 papers, 1 papers with code
PLATO-KAG: Unsupervised Knowledge-Grounded Conversation via Joint Modeling
Large-scale conversation models are turning to leveraging external knowledge to improve the factual accuracy in response generation.
TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversations
Task-oriented dialogue systems have been plagued by the difficulties of obtaining large-scale and high-quality annotated conversations.
PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation
To explore the limit of dialogue generation pre-training, we present the models of PLATO-XL with up to 11 billion parameters, trained on both Chinese and English social media conversations.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
