arxiv
PublishedJuly 31, 2026 at 4:00 AM
—neutral
Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems
Publisher summary· verbatim
arXiv:2607.26120v1 Announce Type: new Abstract: Large Language Models (LLMs)-powered multi-agent systems are increasingly deployed in mixed-motive environments, where agents operate under asymmetric information and strategic deception due to conflicting or hidden objectives. In these settings, misal
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivWhen Generated Information Returns: Error Persistence in LLM-Mediated Information Ecosystems12harxivQuery-Driven Learning for Lifted Reasoning12harxivThe Social World Model Evaluation Gap12harxivConviction Without Evidence: Verdict Stability Is Independent of Visual Grounding in Medical Vision--Language Models12hThe Bubble Brief
MON · WED · FRIRead multi-agent-systems insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗