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Found 6 papers, 2 papers with code
Few Shot Rationale Generation using Self-Training with Dual Teachers
Self-rationalizing models that also generate a free-text explanation for their predicted labels are an important tool to build trustworthy AI applications.
Deploying a Retrieval based Response Model for Task Oriented Dialogues
Task-oriented dialogue systems in industry settings need to have high conversational capability, be easily adaptable to changing situations and conform to business constraints.
Taming Continuous Posteriors for Latent Variational Dialogue Policies
Utilizing amortized variational inference for latent-action reinforcement learning (RL) has been shown to be an effective approach in Task-oriented Dialogue (ToD) systems for optimizing dialogue success.
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention
In this work, we propose a novel way to enable transformers to have the capability of uncertainty estimation and, meanwhile, retain the original predictive performance.
The Multilingual Amazon Reviews Corpus
We present the Multilingual Amazon Reviews Corpus (MARC), a large-scale collection of Amazon reviews for multilingual text classification.
The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes
This article reports on a corpus annotation project that has produced a freely available resource for research on handling negation and uncertainty in biomedical texts (we call this corpus the BioScope corpus).
