Topic: robust

A new framework called RL-ADA has been developed to address the challenge of training robust enterprise dialogue agents by using world feedback, aiming to overcome the annotation bottleneck associated with privacy-sensitive conversational logs. This approach is crucial for improving adversarial robustness in task-oriented chatbots used in customer support while managing data privacy concerns.

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