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  1. Machine learning

Dialog systems, Information retrieval

PreviousNeural NetworksNextLarge Language Models

Last updated 2 years ago

by Prasanna Parthasarathi and Joelle Pineau,

by Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli and Jason Weston, by Kenton Lee, Ming-Wei Chang and Kristina Toutanova,

by Mojtaba Komeili, Kurt Shuster and Jason Weston and by Kurt Shuster, Mojtaba Komeili, Leonard Adolphs, Stephen Roller, Arthur Szlam and Jason Weston.

by Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam and Jason Weston and by Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le and Denny Zhou.

by Chen Tang, Frank Guerin, Yucheng Li and Chenghua Lin and by Lucie-Aimée Kaffee, Pavlos Vougiouklis and Elena Simperl.

Extending Neural Generative Conversational Model Using External Knowledge Sources
Wizard of Wikipedia: Knowledge-powered Conversational Agents
Latent Retrieval for Weakly Supervised Open Domain Question Answering
Internet-augmented Dialogue Generation
Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion
Reason First, then Respond: Modular Generation for Knowledge-infused Dialogue
Chain of Thought Prompting Elicits Reasoning in Large Language Models
Recent Advances in Neural Text Generation: A Task-agnostic Survey
Using Natural Language Generation to Bootstrap Missing Wikipedia Articles: A Human-centric Perspective
Wizard of Wikipedia: Knowledge-Powered Conversational agentsarXiv.org
Extending Neural Generative Conversational Model using External...arXiv.org
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