Pseudo-Siamese Network for Planning in Target-Oriented Proactive Dialogues
The article presents a novel approach to target-oriented proactive dialogue systems using a Forward-Focused Bidirectional Pseudo-Siamese Network (FF-BPSN). This system aims to effectively plan dialogue paths that guide language models in generating responses. Experimental results indicate that FF-BPSN achieves state-of-the-art performance in dialogue path planning, enhancing the overall effectiveness of such systems.
- ▪The proposed FF-BPSN employs two identical transformer-based decoders for dialogue path planning.
- ▪It integrates bidirectional information to construct a final forward path while prioritizing forward information.
- ▪Extensive experiments demonstrate that FF-BPSN significantly enhances target-oriented proactive dialogue systems.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.20195 |
| Publication time | Fri, 22 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-22T04:02:00.009Z |
| Last seen | 2026-05-22T04:02:00.009Z |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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Computer Science > Computation and Language arXiv:2605.20195 (cs) [Submitted on 4 Apr 2026] Title:Pseudo-Siamese Network for Planning in Target-Oriented Proactive Dialogues Authors:Xinyue Kang, Maodong Li, Yibin Zheng, Fang Kong View a PDF of the paper titled Pseudo-Siamese Network for Planning in Target-Oriented Proactive Dialogues, by Xinyue Kang and 3 other authors View PDF HTML (experimental) Abstract:A target-oriented proactive dialogue system is designed to steer conversations toward predefined targets while actively providing suggestions.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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