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arXiv NLP

techCenter

2h ago

RL-ADA: A World-Feedback Framework for Adversarially Robust Enterprise Dialogue Agentstranslating…

arXiv:2609.02902v1 Announce Type: new 
Abstract: Deploying task-oriented dialogue agents in enterprise customer support faces a persistent annotation bottleneck: robust training requires labelled interaction data at scale, yet enterprise conversational logs are privacy-sensitive…

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62/100

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Center

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arXiv Press Group

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Keywords#Enterprise#Dialogue Agents#Robust#A World-Feedback#A World-Feedback Framework

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RL-ADA: A World-Feedback Framework for Adversarially Robust Enterprise Dialogue Agents | Pulse Aggregator