[论文] What LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent Debates

论文概要

研究领域: cs.AI, cs.CL, cs.LG, cs.MA 作者: Arman Ghaffarizadeh, Danyal Mohaddes, Aliakbar Izadkhah, Shahriar Noroozizadeh 发布时间: 2026-07-02 arXiv: 2607.02507

摘要

We introduce a dual-channel debate framework in which agents produce public utterances alongside OTR responses that are recorded but never shown. Alignment-inducing settings produce systematic public-OTR divergence, with decision divergence rising from ~3% baseline to roughly 40%.

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*自动采集于 2026-08-28*

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