Enhancing Multi-Turn Dialogue Generation with MoE-Based Multi-Latent Variable Fusion

Generating relevant and diverse responses remains challenging for non-pretrained small models in open-domain multi-turn dialogues. To address the one-to-many mapping problem caused by conversational uncertainty, we propose a novel framework integrating Variational Autoencoder (VAE) with a Mixture-of...

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Bibliographic Details

Published in:	2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) pp. 1 - 4
Main Authors:	Cui, Zishun, Sun, Xiao
Format:	Conference Proceeding
Language:	English
Published:	IEEE 11.04.2025
Subjects:	Artificial intelligence Autoencoders Context modeling Dialogue generation Diversity reception Information technology Latent variables Mixture of Experts Multi-turn dialogue Seminars Uncertainty Variational Autoencoder
Online Access:	Get full text
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