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Found 2 papers, 1 papers with code
AUTODIAL: Efficient Asynchronous Task-Oriented Dialogue Model
As large dialogue models become commonplace in practice, the problems surrounding high compute requirements for training, inference and larger memory footprint still persists.
Robustness through Data Augmentation Loss Consistency
Our experiments show that DAIR consistently outperforms ERM and DA-ERM with little marginal computational cost and sets new state-of-the-art results in several benchmarks involving covariant data augmentation.
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Multi-domain Dialogue State Tracking
on MULTIWOZ 2.2
Multi-domain Dialogue State Tracking
Visual Question Answering
