agent/papers/items/2026-2607-02507-what-llm-agents-say-when-no-one-is-watching-social-structure-and-latent-objectiv.md

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

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type: paper title: "What LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent Debates" authors: Arman Ghaffarizadeh, Danyal Mohaddes, Aliakbar Izadkhah, Shahriar Noroozizadeh year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.02507 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-02 updated_at: 2026-07-02 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• multi-agent methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.CL
• cs.LG
• cs.MA related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 19 collection_queries: agent-evaluation, llm-agent, multi-agent-llm

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: agent-evaluation, llm-agent, multi-agent-llm
• inferred topics: agent-evaluation, agent-safety, multi-agent
• arXiv categories: cs.AI, cs.CL, cs.LG, cs.MA
• collection score: 19

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2607.02507