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该论文提出MASP（心智化对抗自博弈）框架，将主动对话建模为系统与理性抗拒用户之间的部分可观测博弈，通过BDI潜在状态表示用户心智并交替自博弈更新，在多个主动对话基准上显著提升成功率并更好地对抗强硬用户。
Proposes FF-BPSN, a forward-focused bidirectional pseudo-siamese network using two transformer decoders for dialogue path planning in target-oriented proactive dialogues, achieving state-of-the-art on DuRecDial benchmarks.
This paper proposes a method to enhance target-guided proactive dialogue systems by jointly modeling user profiles and domain knowledge as conversational scenarios and employing intent-keyword bridging to predict future dialogue turns.