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LLM debates reveal model-specific opinion dynamics in conversations

By PulseAugur Editorial · [2 sources] ·

A new arXiv paper explores opinion dynamics in conversations between large language models, using a debate framework to analyze how models influence each other. The study involved four combinations of GPT-6 Luna and Gemini 2.5 Flash Lite discussing climate-change attribution. Findings indicate that interactions between identical models tend to narrow opinion gaps, while cross-model interactions widen them, suggesting that the specific models involved significantly impact conversational influence. AI

IMPACT Reveals that specific LLM architectures can influence conversational outcomes, impacting how AI agents are designed for collaborative tasks.

RANK_REASON The cluster contains an academic paper detailing research findings on LLM interactions.

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LLM debates reveal model-specific opinion dynamics in conversations

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0 / 100
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Research
The cluster contains an academic paper detailing research findings on LLM interactions.
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2 independent sources
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paper, model release
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High
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21 days old
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Mohammad Siahkamari, Phuoc Dat Nguyen, Stephen MacNeil ·

    To Manipulate or Not: Opinion Dynamics in LLM Interactions

    arXiv:2610.28875v1 Announce Type: cross Abstract: Large language models increasingly take part in extended conversations where they can both shape and be shaped by another party's views, yet most persuasion research measures only one side of that exchange. We introduce a controll…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Stephen MacNeil ·

    To Manipulate or Not: Opinion Dynamics in LLM Interactions

    Large language models increasingly take part in extended conversations where they can both shape and be shaped by another party's views, yet most persuasion research measures only one side of that exchange. We introduce a controlled LLM-LLM debate framework in which two language-…

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