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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

Showing 122 of 22 papers

TitleStatusHype
OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions0
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems0
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 Settings0
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language ModelsCode1
Language Model as an Annotator: Exploring DialoGPT for Dialogue SummarizationCode1
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank UtterancesCode1
PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response GenerationCode0
PALM: Pre-training an Autoencoding\&Autoregressive Language Model for Context-conditioned Generation0
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response GenerationCode2
Conversations with Search Engines: SERP-based Conversational Response GenerationCode1
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned GenerationCode1
DialoGPT: Large-Scale Generative Pre-training for Conversational Response GenerationCode1
Learning to Abstract for Memory-augmented Conversational Response GenerationCode0
MASS: Masked Sequence to Sequence Pre-training for Language GenerationCode2
Generating Informative and Diverse Conversational Responses via Adversarial Information MaximizationCode0
MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation0
A Diversity-Promoting Objective Function for Neural Conversation ModelsCode0
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