Cover Image

TrustAgent: Towards Safe and Trustworthy LLM-based Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hua, Wenyue, Yang, Xianjun, Jin, Mingyu, Li, Zelong, Cheng, Wei, Tang, Ruixiang, Zhang, Yongfeng
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate
by: Amayuelas, Alfonso, et al.
Published: (2024)

Epistemic Context Learning: Building Trust the Right Way in LLM-Based Multi-Agent Systems
by: Zhou, Ruiwen, et al.
Published: (2026)

AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems
by: Zhang, Boxuan, et al.
Published: (2026)

Attention Mechanism for LLM-based Agents Dynamic Diffusion under Information Asymmetry
by: Zhang, Yiwen, et al.
Published: (2025)

Game-theoretic LLM: Agent Workflow for Negotiation Games
by: Hua, Wenyue, et al.
Published: (2024)

SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication
by: Zhang, Ruijia, et al.
Published: (2025)

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation
by: Sinha, Aarush, et al.
Published: (2026)

Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface
by: Hua, Wenyue, et al.
Published: (2024)

AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback
by: Park, Joshua, et al.
Published: (2025)

Towards a Science of Collective AI: LLM-based Multi-Agent Systems Need a Transition from Blind Trial-and-Error to Rigorous Science
by: Fan, Jingru, et al.
Published: (2026)

iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference
by: Fan, Wei, et al.
Published: (2025)

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
by: Ye, Rui, et al.
Published: (2025)

BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis
by: Lin, Shuhang, et al.
Published: (2024)

Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration
by: Li, Yilong, et al.
Published: (2025)

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration
by: Liu, Zijun, et al.
Published: (2023)

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

Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery
by: Rama, Balaji, et al.
Published: (2025)

Athena: Safe Autonomous Agents with Verbal Contrastive Learning
by: Sadhu, Tanmana, et al.
Published: (2024)

Know the Ropes: A Heuristic Strategy for LLM-based Multi-Agent System Design
by: Li, Zhenkun, et al.
Published: (2025)

From Competition to Coordination: Market Making as a Scalable Framework for Safe and Aligned Multi-Agent LLM Systems
by: Gho, Brendan, et al.
Published: (2025)

AIOS: LLM Agent Operating System
by: Mei, Kai, et al.
Published: (2024)

Adaptive Memory Admission Control for LLM Agents
by: Zhang, Guilin, et al.
Published: (2026)

PartnerMAS: An LLM Hierarchical Multi-Agent Framework for Business Partner Selection on High-Dimensional Features
by: Li, Lingyao, et al.
Published: (2025)

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments
by: Zhang, Chong, et al.
Published: (2024)

Self-Resource Allocation in Multi-Agent LLM Systems
by: Amayuelas, Alfonso, et al.
Published: (2025)

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory
by: Liu, Jun, et al.
Published: (2025)

CACA Agent: Capability Collaboration based AI Agent
by: Xu, Peng, et al.
Published: (2024)

GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling
by: Zhou, Jialong, et al.
Published: (2025)

Learning to Communicate: Toward End-to-End Optimization of Multi-Agent Language Systems
by: Yu, Ye, et al.
Published: (2026)

Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents
by: Zhang, Xing, et al.
Published: (2026)

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

Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems
by: Jin, Haibo, et al.
Published: (2026)

The Consensus Trap: Rescuing Multi-Agent LLMs from Adversarial Majorities via Token-Level Collaboration
by: Liu, Jiayuan, et al.
Published: (2026)

Games Agents Play: Towards Transactional Analysis in LLM-based Multi-Agent Systems
by: Zamojska, Monika, et al.
Published: (2025)

Sentinel Agents for Secure and Trustworthy Agentic AI in Multi-Agent Systems
by: Gosmar, Diego, et al.
Published: (2025)

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

UnityMAS-O: A General RL Optimization Framework for LLM-Based Multi-Agent Systems
by: Chen, Yiqun, et al.
Published: (2026)

GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration
by: Li, Xin, et al.
Published: (2024)

LLM Agents Making Agent Tools
by: Wölflein, Georg, et al.
Published: (2025)

Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
by: Zhang, Yang, et al.
Published: (2024)