Papers by Iiseo Jihn

1 papers
PRINCIPLES: Synthetic Strategy Memory for Proactive Dialogue Agents (2025.findings-emnlp)

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Challenge: Existing strategies for proactive dialogue face limitations such as limited strategy coverage and preference bias in planning.
Approach: They propose a synthetic strategy memory for proactive dialogue agents based on large language models . PRINCIPLES is derived through offline self-play simulations and serves as reusable knowledge that guides strategy planning during inference.
Outcome: PRINCIPLES is a synthetic strategy memory for proactive dialogue agents.

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