Learning to Communicate: Toward End-to-End Optimization of Multi-Agent Language Systems
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Yu, Ye, Liu, Heming, Jin, Haibo, Yuan, Xiaopeng, Kuang, Peng, Wang, Haohan |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems
par: Jin, Haibo, et autres
Publié: (2026)
par: Jin, Haibo, et autres
Publié: (2026)
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
par: Fang, Haoyang, et autres
Publié: (2025)
par: Fang, Haoyang, et autres
Publié: (2025)
Dialogue Diplomats: An End-to-End Multi-Agent Reinforcement Learning System for Automated Conflict Resolution and Consensus Building
par: Bolleddu, Deepak
Publié: (2025)
par: Bolleddu, Deepak
Publié: (2025)
X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs
par: Ye, Rui, et autres
Publié: (2025)
par: Ye, Rui, et autres
Publié: (2025)
Doctorina MedBench: End-to-End Evaluation of Agent-Based Medical AI
par: Kozlova, Anna, et autres
Publié: (2026)
par: Kozlova, Anna, et autres
Publié: (2026)
Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems
par: Chen, Ke, et autres
Publié: (2025)
par: Chen, Ke, et autres
Publié: (2025)
WebTestBench: Evaluating Computer-Use Agents towards End-to-End Automated Web Testing
par: Kong, Fanheng, et autres
Publié: (2026)
par: Kong, Fanheng, et autres
Publié: (2026)
Towards Ethical Multi-Agent Systems of Large Language Models: A Mechanistic Interpretability Perspective
par: Lee, Jae Hee, et autres
Publié: (2025)
par: Lee, Jae Hee, et autres
Publié: (2025)
What if Pinocchio Were a Reinforcement Learning Agent: A Normative End-to-End Pipeline
par: Alcaraz, Benoît
Publié: (2026)
par: Alcaraz, Benoît
Publié: (2026)
Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration
par: Li, Yilong, et autres
Publié: (2025)
par: Li, Yilong, et autres
Publié: (2025)
Learning Latency-Aware Orchestration for Parallel Multi-Agent Systems
par: Shi, Xi, et autres
Publié: (2026)
par: Shi, Xi, et autres
Publié: (2026)
MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
par: Ye, Rui, et autres
Publié: (2025)
par: Ye, Rui, et autres
Publié: (2025)
Towards a Science of Collective AI: LLM-based Multi-Agent Systems Need a Transition from Blind Trial-and-Error to Rigorous Science
par: Fan, Jingru, et autres
Publié: (2026)
par: Fan, Jingru, et autres
Publié: (2026)
AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems
par: Zhang, Boxuan, et autres
Publié: (2026)
par: Zhang, Boxuan, et autres
Publié: (2026)
UnityMAS-O: A General RL Optimization Framework for LLM-Based Multi-Agent Systems
par: Chen, Yiqun, et autres
Publié: (2026)
par: Chen, Yiqun, et autres
Publié: (2026)
SciAgent: A Unified Multi-Agent System for Generalistic Scientific Reasoning
par: Li, Xuchen, et autres
Publié: (2025)
par: Li, Xuchen, et autres
Publié: (2025)
Manalyzer: End-to-end Automated Meta-analysis with Multi-agent System
par: Xu, Wanghan, et autres
Publié: (2025)
par: Xu, Wanghan, et autres
Publié: (2025)
QUACK: Questioning, Understanding, and Auditing Communicated Knowledge in Multimodal Social Deduction Agents
par: Yuan, Ye, et autres
Publié: (2026)
par: Yuan, Ye, et autres
Publié: (2026)
360$^\circ$REA: Towards A Reusable Experience Accumulation with 360° Assessment for Multi-Agent System
par: Gao, Shen, et autres
Publié: (2024)
par: Gao, Shen, et autres
Publié: (2024)
Grammar Search for Multi-Agent Systems
par: Singh, Mayank, et autres
Publié: (2025)
par: Singh, Mayank, et autres
Publié: (2025)
Weak-Link Optimization for Multi-Agent Reasoning and Collaboration
par: Bian, Haoyu, et autres
Publié: (2026)
par: Bian, Haoyu, et autres
Publié: (2026)
GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration
par: Li, Xin, et autres
Publié: (2024)
par: Li, Xin, et autres
Publié: (2024)
Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
par: Yang, Huchen, et autres
Publié: (2026)
par: Yang, Huchen, et autres
Publié: (2026)
Epistemic Context Learning: Building Trust the Right Way in LLM-Based Multi-Agent Systems
par: Zhou, Ruiwen, et autres
Publié: (2026)
par: Zhou, Ruiwen, et autres
Publié: (2026)
Toward Real-World Chinese Psychological Support Dialogues: CPsDD Dataset and a Co-Evolving Multi-Agent System
par: Shi, Yuanchen, et autres
Publié: (2025)
par: Shi, Yuanchen, et autres
Publié: (2025)
Adaptive Multi-Agent Response Refinement in Conversational Systems
par: Jeong, Soyeong, et autres
Publié: (2025)
par: Jeong, Soyeong, et autres
Publié: (2025)
Colosseum: Auditing Collusion in Cooperative Multi-Agent Systems
par: Nakamura, Mason, et autres
Publié: (2026)
par: Nakamura, Mason, et autres
Publié: (2026)
Self-Resource Allocation in Multi-Agent LLM Systems
par: Amayuelas, Alfonso, et autres
Publié: (2025)
par: Amayuelas, Alfonso, et autres
Publié: (2025)
An Empirical Study of Group Conformity in Multi-Agent Systems
par: Choi, Min, et autres
Publié: (2025)
par: Choi, Min, et autres
Publié: (2025)
RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory
par: Liu, Jun, et autres
Publié: (2025)
par: Liu, Jun, et autres
Publié: (2025)
SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention
par: Zhao, Chengshuai, et autres
Publié: (2025)
par: Zhao, Chengshuai, et autres
Publié: (2025)
Enhancing Online Learning Efficiency Through Heterogeneous Resource Integration with a Multi-Agent RAG System
par: Srivastav, Devansh, et autres
Publié: (2025)
par: Srivastav, Devansh, et autres
Publié: (2025)
DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics
par: Yoffe, Luke, et autres
Publié: (2024)
par: Yoffe, Luke, et autres
Publié: (2024)
Multi-Agent Collaboration via Evolving Orchestration
par: Dang, Yufan, et autres
Publié: (2025)
par: Dang, Yufan, et autres
Publié: (2025)
MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems
par: Wang, Zhexuan, et autres
Publié: (2026)
par: Wang, Zhexuan, et autres
Publié: (2026)
Modeling Layered Consciousness with Multi-Agent Large Language Models
par: Kim, Sang Hun, et autres
Publié: (2025)
par: Kim, Sang Hun, et autres
Publié: (2025)
Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation
par: Sudhakar, Arjun Vaithilingam
Publié: (2025)
par: Sudhakar, Arjun Vaithilingam
Publié: (2025)
Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation
par: Yu, Ye, et autres
Publié: (2026)
par: Yu, Ye, et autres
Publié: (2026)
Layered Chain-of-Thought Prompting for Multi-Agent LLM Systems: A Comprehensive Approach to Explainable Large Language Models
par: Sanwal, Manish
Publié: (2025)
par: Sanwal, Manish
Publié: (2025)
CACA Agent: Capability Collaboration based AI Agent
par: Xu, Peng, et autres
Publié: (2024)
par: Xu, Peng, et autres
Publié: (2024)
Documents similaires
-
Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems
par: Jin, Haibo, et autres
Publié: (2026) -
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
par: Fang, Haoyang, et autres
Publié: (2025) -
Dialogue Diplomats: An End-to-End Multi-Agent Reinforcement Learning System for Automated Conflict Resolution and Consensus Building
par: Bolleddu, Deepak
Publié: (2025) -
X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs
par: Ye, Rui, et autres
Publié: (2025) -
Doctorina MedBench: End-to-End Evaluation of Agent-Based Medical AI
par: Kozlova, Anna, et autres
Publié: (2026)