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Found 3 papers, 2 papers with code
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering
Data artifacts incentivize machine learning models to learn non-transferable generalizations by taking advantage of shortcuts in the data, and there is growing evidence that data artifacts play a role for the strong results that deep learning models achieve in recent natural language processing benchmarks.
An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation
To obtain a transparent reasoning process, we introduce neuro-symbolic to perform explicit reasoning that justifies model decisions by reasoning chains.
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems
End-to-end task-oriented dialogue systems aim to generate system responses directly from plain text inputs.
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