Papers by Puhai Yang

2 papers
Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking? (2021.acl-long)

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Challenge: Dialogue state tracking (DST) plays a key role in task-oriented dialogue systems to monitor the user’s goal.
Approach: They propose to use scratch-based and previous-based strategies to track dialogue state . they explore how different granularities affect dialogue state tracking .
Outcome: The scratch-based strategy obtains each slot value by inquiring all the dialogue history, while the previous-based method is not very useful for long-dependency dialogue state tracking.
Rethinking Task-Oriented Dialogue Systems: From Complex Modularity to Zero-Shot Autonomous Agent (2024.acl-long)

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Challenge: Task-oriented dialogue systems are designed to be composed of several functional modules, but lacks a general-purpose instruction-following language model.
Approach: They propose a fully zero-shot autonomous TOD agent that leverages a general-purpose instruction-following language model to decide what to do at each dialogue turn.
Outcome: The proposed agent can perform tasks in real-life scenarios with a general-purpose instruction-following language model.

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