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New method grounds Bayesian persuasion in LLM dialogues without pre-commitment

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new method for grounding Bayesian persuasion in natural language dialogues without requiring pre-commitment from participants. This approach, implemented in Semi-Formal-Natural-Language (SFNL) and Fully-Natural-Language (FNL) variants, allows large language models (LLMs) to dynamically construct an information schema by narrating potential types, enabling the persuadee to update their beliefs within the conversation. Evaluations showed that these Bayesian persuasion strategies consistently outperformed baselines, with SFNL demonstrating strong logical credibility and FNL offering superior robustness and emotional resonance. The study also confirmed that the gains were due to genuine Bayesian reasoning and that supervised fine-tuning could enable smaller models to achieve the same persuasive performance as larger ones. AI

IMPACT This research could enhance the strategic capabilities of LLMs in negotiation and sales by enabling more sophisticated persuasive dialogues.

RANK_REASON The cluster contains an academic paper detailing a new method for LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New method grounds Bayesian persuasion in LLM dialogues without pre-commitment

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The cluster contains an academic paper detailing a new method for LLMs. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Buwei He, Yang Liu, Zhaowei Zhang, Zixia Jia, Yang Yu, Huijia Wu, Zhaofeng He, Zilong Zheng, Yipeng Kang ·

    Make an Offer They Can't Refuse: Grounding Bayesian Persuasion in Real-World Dialogues without Pre-Commitment

    arXiv:2510.13387v3 Announce Type: replace Abstract: Large language models (LLMs) still struggle with strategic persuasion, largely because existing approaches either neglect information asymmetry or rely on unrealistic pre-commitment assumptions. We introduce a type-induced commi…

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