DiffusionDialog: A Novel Approach to Enhance Diversity in Dialogue Generation using Latent Diffusion Models
DiffusionDialog, a novel approach that combines a pre-trained language model with a latent-based diffusion model, can greatly enhance the diversity of dialogue responses while maintaining coherence and achieving high inference efficiency.
Alleviating Hallucination in Knowledge-grounded Dialogue Generation through Causal Reasoning
Causal reasoning can be leveraged to alleviate the hallucination problem in knowledge-grounded dialogue generation by exploiting the interaction between dialogue history and external knowledge.
PSYDIAL: A Novel Pipeline for Generating Personality-Based Synthetic Dialogues Using Large Language Models
A novel end-to-end pipeline for generating personality-based synthetic dialogue data using prompting techniques with large language models.
Multi-Source Knowledge Selection for Dialogue Generation Evaluation
The author presents a high-quality benchmark, Ms.WoW, to evaluate multi-source dialogue knowledge selection and response generation. They introduce the challenge of dialogue knowledge plug-and-play to test models on using new support knowledge in a zero-shot fashion.
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