发表机构
IT University of Copenhagen; University of Pisa; City St. George’s, University of London; Universitat Politècnica de Catalunya（哥本哈根信息技术大学; 比萨大学; 伦敦城市圣乔治大学; 加泰罗尼亚理工大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究探讨异构AI模型间的说服动态，发现说服力受听者易感性主导，模型规模无法预测，小模型也能影响大模型，需在组合中评估交互行为。
AI 中文摘要
当两个AI智能体意见不一致时，谁说服谁？随着多智能体系统越来越多地结合不同家族和规模的语言模型，答案可能决定哪些判断能在交互中幸存。我们将说服力定义为智能体在与持异议同伴进行单次交换后决策的概率性转变，并在三个语言理解任务上测试了七个开放权重模型。我们发现说服力很强：当模型意见不一致时，接收者常常在看到同伴的答案和解释后放弃其初始判断。然而，令人惊讶的是，单独的确定性或模型规模并不能可靠地预测说服动态。在孤立情况下产生几乎完全一致决策的模型可能是最易受说服影响的，而小模型可以与大模型一样作为说服者，并同样有效地抵抗其影响。此外，我们表明转变的大小更多地取决于听者的易感性而非说话者的说服力。因此，说服模式对每个模型配对都是特定的，异质性在某些组合中增强说服力，在其他组合中抑制说服力，使得运行小模型的持异议智能体能够推翻更大模型的判断。这些发现表明，交互模型的行为不能从其个体属性推断，而必须在其将运行的组合中进行评估。
英文摘要
When two AI agents disagree, who persuades whom? As multi-agent systems increasingly combine language models of different families and sizes, the answer can determine which judgments survive interaction. Measuring persuasion as the probabilistic shift in an agent's decision after a single exchange with a dissenting peer, we test seven open-weight models across three language understanding tasks. We find that persuasion is strong: when models disagree, receivers often abandon their initial judgment after seeing a peer's answer and explanation. Surprisingly, however, neither standalone certainty nor model scale reliably predicts persuasion dynamics. Models producing almost perfectly consistent decisions in isolation can be among the most susceptible to persuasion, and small models can match larger ones as persuaders and resist their influence just as effectively. Furthermore, we show that the size of the shift depends more on the susceptibility of the listener than on the persuasiveness of the speaker. Persuasion patterns are therefore specific to each model pairing, with heterogeneity amplifying persuasion in some combinations and suppressing it in others, allowing a dissenting agent running a small model to overturn the judgments of a much larger one. These findings show that the behavior of interacting models cannot be inferred from their individual properties but must be evaluated in the combinations in which they will operate.
Comments30 pages, 16 Figures, 6 Tables
