English(EN) MADS: Multi-Agent Dialogue Simulation for Diverse Persuasion Data Generation

MADS框架生成说服性对话，提高营销转化率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-10 04:00

研究人员开发了MADS（多智能体对话模拟）框架，通过智能体自我博弈生成多轮说服性对话。该系统使用三个智能体来模拟多样化的用户角色、执行说服策略并优化对话结果。在营销场景中应用MADS，提高了小型LLM的说服能力，有机流量转化率提高了22.4%。 AI

影响该框架能够更高效、更经济地生成LLM的训练数据，尤其是在侧重说服力的应用中。

排序理由该集群描述了一篇研究论文，其中详细介绍了一个新的数据生成框架。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 12 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群描述了一篇研究论文，其中详细介绍了一个新的数据生成框架。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

arXiv cs.CL TIER_1 English(EN) · Mingjin Li, Yu Liu, Huayi Liu, Xiang Ye, Chao Jiang, Hongguang Zhang, Yu Ruan · 2026-09-10 04:00

MADS：用于多样化说服数据生成的多个智能体对话模拟

arXiv:2510.05124v3 Announce Type: replace Abstract: We propose MADS (Multi-Agent Dialogue Simulation), a scalable framework for generating persuasive multi-turn dialogues via agent self-play. MADS employs three coordinated agents: User Agents designed to simulate diverse persona-…