Search Results for author:
Found 6 papers, 0 papers with code
A Randomized Link Transformer for Diverse Open-Domain Dialogue Generation
A major issue in open-domain dialogue generation is the agent’s tendency to generate repetitive and generic responses.
Partially Randomizing Transformer Weights for Dialogue Response Diversity
Despite recent progress in generative open-domain dialogue, the issue of low response diversity persists.
An Empirical Bayes Framework for Open-Domain Dialogue Generation
To engage human users in meaningful conversation, open-domain dialogue agents are required to generate diverse and contextually coherent dialogue.
Improving Contextual Coherence in Variational Personalized and Empathetic Dialogue Agents
Empirical results show that our framework significantly improves the contextual coherence of the generated response.
DLVGen: A Dual Latent Variable Approach to Personalized Dialogue Generation
The generation of personalized dialogue is vital to natural and human-like conversation.
Generating Personalized Dialogue via Multi-Task Meta-Learning
To address these practical limitations, we propose a novel multi-task meta-learning approach which involves training a model to adapt to new personas without relying on a large corpus, or on any predefined persona information.
