RL-ADA: a world-feedback framework for adversarially robust enterprise dialogue agents
Read the original at arxiv.org→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...
Original headline: "RL-ADA: A World-Feedback Framework for Adversarially Robust Enterprise Dialogue Agents"
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- Sep 4, 04:00 UTC arXiv cs.CL lead source RL-ADA: A World-Feedback Framework for Adversarially Robust Enterprise Dialogue Agents