Cover Image

CalBench: Evaluating Coordination-Privacy Trade-offs in Multi-Agent LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zou, Chelsea, Yao, Yiheng, She, Selena, Goodman, Noah, Hawkins, Robert D.
Format:	Preprint
Published:	2026
Subjects:	Multiagent Systems Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation
by: Yao, Yiheng, et al.
Published: (2026)

Silo-Bench: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems
by: Zhang, Yuzhe, et al.
Published: (2026)

Hierarchical Decentralized Multi-Agent Coordination with Privacy-Preserving Knowledge Sharing: Extending AgentNet for Scalable Autonomous Systems
by: Nalagatla, Goutham
Published: (2025)

PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints
by: Park, Minjun, et al.
Published: (2026)

Resilient Multi-Agent Negotiation for Medical Supply Chains:Integrating LLMs and Blockchain for Transparent Coordination
by: ALMutairi, Mariam, et al.
Published: (2025)

AgentWebBench: Benchmarking Multi-Agent Coordination in Agentic Web
by: Zhong, Shanshan, et al.
Published: (2026)

Explicit Trait Inference for Multi-Agent Coordination
by: Abdurahman, Suhaib, et al.
Published: (2026)

MPAC: A Multi-Principal Agent Coordination Protocol for Interoperable Multi-Agent Collaboration
by: Qian, Kaiyang, et al.
Published: (2026)

Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems
by: Peigne-Lefebvre, Pierre, et al.
Published: (2025)

Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
by: Cardei, Maria Ana, et al.
Published: (2026)

Multi-Agent Coordination across Diverse Applications: A Survey
by: Sun, Lijun, et al.
Published: (2025)

Multi-Agent Coordination Adaptation via Structure-Guided Orchestration
by: Li, Haoran, et al.
Published: (2026)

Closed-Loop Vision-Language Planning for Multi-Agent Coordination
by: Li, Zhiyuan, et al.
Published: (2025)

Agents on the Bench: Large Language Model Based Multi Agent Framework for Trustworthy Digital Justice
by: Jiang, Cong, et al.
Published: (2024)

EvoSkill: Automated Skill Discovery for Multi-Agent Systems
by: Alzubi, Salaheddin, et al.
Published: (2026)

Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration
by: Qu, Yun, et al.
Published: (2024)

VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft
by: Dong, Yubo, et al.
Published: (2024)

Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
by: Toquebiau, Maxime, et al.
Published: (2024)

Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
by: Du, Hung, et al.
Published: (2025)

Data-Efficient Multi-Agent Spatial Planning with LLMs
by: Su, Huangyuan, et al.
Published: (2025)

Applying Multi-Agent Negotiation to Solve the Production Routing Problem With Privacy Preserving
by: Biasoto, Luiza Pellin, et al.
Published: (2024)

Revisiting Gossip Protocols: A Vision for Emergent Coordination in Agentic Multi-Agent Systems
by: Habiba, Mansura, et al.
Published: (2025)

Collaborative Belief Reasoning with LLMs for Efficient Multi-Agent Collaboration
by: Wang, Zhimin, et al.
Published: (2025)

MAR:Multi-Agent Reflexion Improves Reasoning Abilities in LLMs
by: Ozer, Onat, et al.
Published: (2025)

Audit the Whisper: Detecting Steganographic Collusion in Multi-Agent LLMs
by: Tailor, Om
Published: (2025)

Reasoning-Aware Prompt Orchestration: A Foundation Model for Multi-Agent Language Model Coordination
by: Dhrif, Hassen
Published: (2025)

Self-Evolving Coordination Protocol in Multi-Agent AI Systems: An Exploratory Systems Feasibility Study
by: Rodriguez, Jose Manuel de la Chica, et al.
Published: (2026)

A Taxonomy of Hierarchical Multi-Agent Systems: Design Patterns, Coordination Mechanisms, and Industrial Applications
by: Moore, David J.
Published: (2025)

A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming
by: Shah, Mian Ibad Ali, et al.
Published: (2023)

Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination
by: Kailas, Siva, et al.
Published: (2025)

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
by: Bettini, Matteo, et al.
Published: (2023)

QKVShare: Quantized KV-Cache Handoff for Multi-Agent On-Device LLMs
by: Honavar, Pratik, et al.
Published: (2026)

Knowledge Base-Aware Orchestration: A Dynamic, Privacy-Preserving Method for Multi-Agent Systems
by: Trombino, Danilo, et al.
Published: (2025)

MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents
by: Zhu, Kunlun, et al.
Published: (2025)

Ripple Effect Protocol: Coordinating Agent Populations
by: Chopra, Ayush, et al.
Published: (2025)

Multi-Agent Teams Hold Experts Back
by: Pappu, Aneesh, et al.
Published: (2026)

Distributed Multi-Agent Coordination Using Multi-Modal Foundation Models
by: Mahmud, Saaduddin, et al.
Published: (2025)

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
by: Grötschla, Florian, et al.
Published: (2025)

Maestro: Learning to Collaborate via Conditional Listwise Policy Optimization for Multi-Agent LLMs
by: Yang, Wei, et al.
Published: (2025)

Interactional Fairness in LLM Multi-Agent Systems: An Evaluation Framework
by: Binkyte, Ruta
Published: (2025)