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Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain Schema
To overcome this challenge, we introduce a novel Zero-Shot generalizable end-to-end Task-oriented Dialog system, ZS-ToD, that leverages domain schemas to allow for robust generalization to unseen domains and exploits effective summarization of the dialog history.
Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function
In this work, we propose a novel framework, P-ToD, to personalize task-oriented dialog systems capable of adapting to a wide range of user profiles in an unsupervised fashion using a zero-shot generalizable reward function.
MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation
To facilitate research for app recommendation systems, we introduce a large-scale dataset, called MobileRec.
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