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Conversational Response Generation

Given an input conversation, generate a natural-looking text reply to the last conversation element.

Image credit: DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation

Papers

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Showing 1–10 of 22 papers

TitleStatusHype
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response GenerationCode2
CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AICode2
MASS: Masked Sequence to Sequence Pre-training for Language GenerationCode2
PLACES: Prompting Language Models for Social Conversation SynthesisCode1
DialoGPT: Large-Scale Generative Pre-training for Conversational Response GenerationCode1
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank UtterancesCode1
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned GenerationCode1
Conversations with Search Engines: SERP-based Conversational Response GenerationCode1
Language Model as an Annotator: Exploring DialoGPT for Dialogue SummarizationCode1
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language ModelsCode1
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