The content introduces the Ms.WoW dataset for evaluating multi-source dialogue knowledge selection and response generation. It discusses challenges in adapting to new knowledge sources at test time and highlights the importance of robustness in dialogue models. The study emphasizes the benefits of additional knowledge sources even in zero-shot settings and compares fine-tuned models with large language models for response generation.
The research focuses on improving dialogue systems' adaptability to new information sources, providing insights into the performance of different knowledge sources in response generation tasks. It also explores the impact of zero-shot adaptation on model performance and highlights the potential of large language models for dialogue knowledge plug-and-play scenarios.
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by Xiangci Li,L... at arxiv.org 03-07-2024
https://arxiv.org/pdf/2403.03496.pdfDeeper Inquiries