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Found 3 papers, 1 papers with code
Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans
We perform extensive experiments on the Action-Based Conversations Dataset (ABCD) with T5-small, base and large models, and show that such models: a) are able to more readily generalize to unseen workflows by following the provided plan, and b) are able to generalize to executing unseen actions if they are provided in the plan.
Workflow Discovery from Dialogues in the Low Data Regime
We propose and evaluate an approach that conditions models on the set of possible actions, and we show that using this strategy, we can improve WD performance.
Ranked #1 on
Workflow Discovery
on ABCD
Sex, drugs, and violence
Automatically detecting inappropriate content can be a difficult NLP task, requiring understanding context and innuendo, not just identifying specific keywords.
