Emergent Social Intelligence Risks in Generative Multi-Agent Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Yue, Jiang, Yu, Wang, Wenjie, Zhuang, Haomin, Luo, Xiaonan, Ma, Yuchen, Xu, Zhangchen, Chen, Zichen, Moniz, Nuno, Lin, Zinan, Chen, Pin-Yu, Chawla, Nitesh V, Dziri, Nouha, Sun, Huan, Zhang, Xiangliang
Format:	Preprint
Published:	2026
Subjects:	Multiagent Systems Computation and Language Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Genotype-Conditioned Molecular Generation via Evidence-Grounded Multi-Objective Latent Perturbation in Diffusion Models
by: Nogueira, Brenda, et al.
Published: (2026)

Large Language Model based Multi-Agents: A Survey of Progress and Challenges
by: Guo, Taicheng, et al.
Published: (2024)

Capability-Oriented Training Induced Alignment Risk
by: Zhou, Yujun, et al.
Published: (2026)

SkillGen: Verified Inference-Time Agent Skill Synthesis
by: Ma, Yuchen, et al.
Published: (2026)

BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks
by: Sokol, Anna, et al.
Published: (2024)

Emergent Language: A Survey and Taxonomy
by: Peters, Jannik, et al.
Published: (2024)

Class-Aware Contrastive Optimization for Imbalanced Text Classification
by: Khvatskii, Grigorii, et al.
Published: (2024)

Emergent decentralized regulation in a purely synthetic society
by: Manik, Md Motaleb Hossen, et al.
Published: (2026)

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems
by: Chen, Jiayi, et al.
Published: (2025)

A-MapReduce: Executing Wide Search via Agentic MapReduce
by: Chen, Mingju, et al.
Published: (2026)

GNNs as Predictors of Agentic Workflow Performances
by: Zhang, Yuanshuo, et al.
Published: (2025)

Is Your LLM-as-a-Recommender Agent Trustable? LLMs' Recommendation is Easily Hacked by Biases (Preferences)
by: Tang, Zichen, et al.
Published: (2026)

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
by: Ye, Jiayi, et al.
Published: (2024)

How Brittle is Agent Safety? Rethinking Agent Risk under Intent Concealment and Task Complexity
by: Ma, Zihan, et al.
Published: (2025)

Robust Mean-Field Games with Risk Aversion and Bounded Rationality
by: Jeloka, Bhavini, et al.
Published: (2026)

Reply to "Emergent LLM behaviors are observationally equivalent to data leakage"
by: Ashery, Ariel Flint, et al.
Published: (2025)

Too Many Specialists: Emergent Inefficiencies and Bottlenecks for Multi-agent Ad-hoc Collaboration
by: Panny, Benjamin, et al.
Published: (2026)

Binary Decisions in DAOs: Accountability and Belief Aggregation via Linear Opinion Pools
by: Braz, Nuno, et al.
Published: (2026)

On the Transition to an Auction-based Intelligent Parking Assignment System
by: Alekszejenkó, Levente, et al.
Published: (2026)

Reliable Control-Point Selection for Steering Reasoning in Large Language Models
by: Zhuang, Haomin, et al.
Published: (2026)

Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication
by: Lipinski, Olaf, et al.
Published: (2024)

Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition
by: Cope, Dylan, et al.
Published: (2024)

Emergent Social Dynamics of LLM Agents in the El Farol Bar Problem
by: Takata, Ryosuke, et al.
Published: (2025)

Communication to Completion: Modeling Collaborative Workflows with Intelligent Multi-Agent Communication
by: Lu, Yiming, et al.
Published: (2025)

RoadMapper: A Multi-Agent System for Roadmap Generation of Solving Complex Research Problems
by: Liu, Jiacheng, et al.
Published: (2026)

AI-AI Esthetic Collaboration with Explicit Semiotic Awareness and Emergent Grammar Development
by: Moldovan, Nicanor I.
Published: (2025)

Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow
by: Yu, Xinlei, et al.
Published: (2025)

The Social Cost of Intelligence: Emergence, Propagation, and Amplification of Stereotypical Bias in Multi-Agent Systems
by: Nguyen, Thi-Nhung, et al.
Published: (2025)

MAEBE: Multi-Agent Emergent Behavior Framework
by: Erisken, Sinem, et al.
Published: (2025)

A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy
by: Zou, Henry Peng, et al.
Published: (2025)

Representing expertise accelerates learning from pedagogical interaction data
by: Yu, Dhara, et al.
Published: (2026)

When AI Agents Learn from Each Other: Insights from Emergent AI Agent Communities on OpenClaw for Human-AI Partnership in Education
by: Chen, Eason, et al.
Published: (2026)

VideoChat-M1: Collaborative Policy Planning for Video Understanding via Multi-Agent Reinforcement Learning
by: Chen, Boyu, et al.
Published: (2025)

A Survey on Trustworthy LLM Agents: Threats and Countermeasures
by: Yu, Miao, et al.
Published: (2025)

SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention
by: Zhao, Chengshuai, et al.
Published: (2025)

Spiking Neural Networks as a Controller for Emergent Swarm Agents
by: Zhu, Kevin, et al.
Published: (2024)

Synergy: A Next-Generation General-Purpose Agent for Open Agentic Web
by: Nie, Xiaohang, et al.
Published: (2026)

Trust, Lies, and Long Memories: Emergent Social Dynamics and Reputation in Multi-Round Avalon with LLM Agents
by: Ellawela, Suveen
Published: (2026)

ChemOrch: Empowering LLMs with Chemical Intelligence via Synthetic Instructions
by: Huang, Yue, et al.
Published: (2025)

Incorporating LLMs for Large-Scale Urban Complex Mobility Simulation
by: Song, Yu-Lun, et al.
Published: (2025)