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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
OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions—0
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems—0
Explainability for Transparent Conversational Information-SeekingCode0
Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response GenerationCode0
PLACES: Prompting Language Models for Social Conversation SynthesisCode1
DialoGen: Generalized Long-Range Context Representation for Dialogue SystemsCode0
CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AICode2
Using Synthetic Data for Conversational Response Generation in Low-resource Settings—0
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language ModelsCode1
Language Model as an Annotator: Exploring DialoGPT for Dialogue SummarizationCode1
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