5.2k citations · 10k across the 79 of their papers we have counts for
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Wizard of Wikipedia: Knowledge-Powered Conversational agents
Emily Dinan, Stephen Roller, Kurt Shuster +3
In open-domain dialogue intelligent agents should exhibit the use of knowledge, however there are few convincing demonstrations of this to date. The most popular sequence to sequen…
Image Chat: Engaging Grounded Conversations
Kurt Shuster, Samuel Humeau, Antoine Bordes +1
To achieve the long-term goal of machines being able to engage humans in conversation, our models should captivate the interest of their speaking partners. Communication grounded i…
Dialogue Natural Language Inference
Sean Welleck, Jason Weston, Arthur Szlam +1
Consistency is a long standing issue faced by dialogue models. In this paper, we frame the consistency of dialogue agents as natural language inference (NLI) and create a new natur…
Retrieve and Refine: Improved Sequence Generation Models For Dialogue
Jason Weston, Emily Dinan, Alexander H. Miller
Sequence generation models for dialogue are known to have several problems: they tend to produce short, generic sentences that are uninformative and unengaging. Retrieval models on…
Jump to better conclusions: SCAN both left and right
Jasmijn Bastings, Marco Baroni, Jason Weston +2
Lake and Baroni (2018) recently introduced the SCAN data set, which consists of simple commands paired with action sequences and is intended to test the strong generalization abili…