Papers by Hanwen Du

2 papers
Planning with Diffusion Models for Target-Oriented Dialogue Systems (2025.acl-long)

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Challenge: Existing methods for directing conversations toward specific targets generate dialogue plans in a step-by-step sequential manner and suffer from compounding errors and myopic actions.
Approach: They propose a framework that leverages diffusion models to enable non-sequential dialogue planning.
Outcome: The proposed framework performs non-myopic lookahead exploration and optimizes action strategies over a long horizon through non-sequential dialogue planning.
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search (2025.naacl-long)

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Challenge: Existing methods train RL-based agents with greedy action selection or sampling strategy and suffer from suboptimal conversational planning.
Approach: They propose a Monte Carlo Tree Search-based CRS framework called SAPIENT . it consists of a conversational agent and a communication planner .
Outcome: The proposed framework outperforms the state-of-the-art methods on four benchmark datasets.

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