Papers with knowledge-grounded dialogue system

2 papers
A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation (2021.emnlp-main)

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Challenge: Existing knowledge-grounded dialogues perform poorly when transfer into new domains with limited training samples.
Approach: They propose a weakly supervised three-stage learning framework based on weakly-supervised learning based upon large scale ungrounded dialogues and unstructured knowledge base.
Outcome: The proposed framework outperforms state-of-the-art methods even in zero-resource setting.
Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue (2024.lrec-main)

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Challenge: Existing approaches to knowledge retrieval are limited by the knowledge base encoder, but our work focuses on the knowledge-base encoder.
Approach: They propose an approach that utilizes topic modeling on the knowledge base to improve retrieval accuracy and as a result, improve response generation.
Outcome: The proposed approach can improve retrieval and generation performance on two datasets.

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