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News/DiPS: Dialogue Policy Selection for High-Stakes Persuasion Agents
arxiv
PublishedJuly 3, 2026 at 4:00 AM
▲bullish

DiPS: Dialogue Policy Selection for High-Stakes Persuasion Agents

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.01557v1 Announce Type: cross Abstract: Large Language Models (LLMs) often struggle with persuasion in high-stakes scenarios. People's individual personalities and concerns require tailored strategies rather than a one-size-fits-all approach. To address this challenge, we focus on a fire-r

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Discussion
Mentioned models
02
  • 01
    RAG
  • 02
    LLM
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#persuasion#language-models#dialogue-systems#evacuation-scenarios

No replies yet. Be first.

Mentioned models
02
  • 01
    RAG
  • 02
    LLM
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#persuasion#language-models#dialogue-systems#evacuation-scenarios

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arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents2darxivTNODEV: Toolbox for Neural ODE Verification2d
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