Papers with non-collaborative dialogue agents

2 papers
Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation (2024.emnlp-main)

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Challenge: Non-collaborative dialogue agents are expected to engage in strategic conversations with diverse users, and this poses two main challenges for existing dialogue agents: 1) the inability to integrate user-specific characteristics into the strategic planning; 2) the difficulty of training strategic planners that can be generalized to diverse users.
Approach: They propose to integrate a user-aware strategic planning module and a population-based training paradigm into a non-collaborative dialogue agent for securing a mutual agreement that leans favorably towards the system's objectives.
Outcome: The proposed model can be used to achieve a mutual agreement that leans favorably towards the system's objectives.
METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues (2026.acl-long)

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Challenge: Developing non-collaborative dialogue agents traditionally requires manual codification of expert strategies.
Approach: They propose a method that formalizes expert knowledge into a Strategy Forest from raw transcripts.
Outcome: The proposed method outperforms existing methods by 9%-10% in two benchmarks.

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