Copertina

Adaptive Graph Pruning for Multi-Agent Communication

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Boyi, Zhao, Zhonghan, Lee, Der-Horng, Wang, Gaoang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Multiagent Systems
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Q-KVComm: Efficient Multi-Agent Communication Via Adaptive KV Cache Compression
di: Kriuk, Boris, et al.
Pubblicazione: (2025)

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

Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems
di: Yan, Bingyu, et al.
Pubblicazione: (2025)

Agents that Matter: Optimizing Multi-Agent LLMs via Removal-Based Attribution
di: Lu, Mingyu, et al.
Pubblicazione: (2026)

Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation
di: Li, Shiyuan, et al.
Pubblicazione: (2025)

Superficial Success vs. Internal Breakdown: An Empirical Study of Generalization in Adaptive Multi-Agent Systems
di: So, Namyoung, et al.
Pubblicazione: (2026)

Anemoi: A Semi-Centralized Multi-agent System Based on Agent-to-Agent Communication MCP server from Coral Protocol
di: Ren, Xinxing, et al.
Pubblicazione: (2025)

Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems
di: Zhang, Shaokun, et al.
Pubblicazione: (2025)

You Only Align Once: Propagating Cooperative Behaviors in Multi-Agent Systems through Seed Agents
di: Hsing, Nicole, et al.
Pubblicazione: (2026)

G2CP: A Graph-Grounded Communication Protocol for Verifiable and Efficient Multi-Agent Reasoning
di: Khaled, Karim Ben, et al.
Pubblicazione: (2026)

Preventing Rogue Agents Improves Multi-Agent Collaboration
di: Barbi, Ohav, et al.
Pubblicazione: (2025)

Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs
di: Mieczkowski, Elizabeth, et al.
Pubblicazione: (2026)

Multi-User Large Language Model Agents
di: Yang, Shu, et al.
Pubblicazione: (2026)

Towards Self-Improving Error Diagnosis in Multi-Agent Systems
di: Li, Jiazheng, et al.
Pubblicazione: (2026)

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

Adaptive Multi-Agent Response Refinement in Conversational Systems
di: Jeong, Soyeong, et al.
Pubblicazione: (2025)

A Novel Hierarchical Multi-Agent System for Payments Using LLMs
di: Chua, Joon Kiat, et al.
Pubblicazione: (2026)

Specialists or Generalists? Multi-Agent and Single-Agent LLMs for Essay Grading
di: Idowu, Jamiu Adekunle, et al.
Pubblicazione: (2026)

AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
di: Yang, Yingxuan, et al.
Pubblicazione: (2025)

Single-Agent LLMs Outperform Multi-Agent Systems on Multi-Hop Reasoning Under Equal Thinking Token Budgets
di: Tran, Dat, et al.
Pubblicazione: (2026)

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

GEMA-Score: Granular Explainable Multi-Agent Scoring Framework for Radiology Report Evaluation
di: Zhang, Zhenxuan, et al.
Pubblicazione: (2025)

Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
di: Choi, Hyeong Kyu, et al.
Pubblicazione: (2025)

Breaking Event Rumor Detection via Stance-Separated Multi-Agent Debate
di: Zhang, Mingqing, et al.
Pubblicazione: (2024)

CRMAgent: A Multi-Agent LLM System for E-Commerce CRM Message Template Generation
di: Quan, Yinzhu, et al.
Pubblicazione: (2025)

MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems
di: Wang, Kun, et al.
Pubblicazione: (2025)

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

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

Following the TRACE: A Structured Path to Empathetic Response Generation with Multi-Agent Models
di: Liu, Ziqi, et al.
Pubblicazione: (2025)

Multi Agent based Medical Assistant for Edge Devices
di: Gawade, Sakharam, et al.
Pubblicazione: (2025)

FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces
di: Xu, Zhenran, et al.
Pubblicazione: (2025)

SkillMAS: Skill Co-Evolution with LLM-based Multi-Agent System
di: Pan, Shuai, et al.
Pubblicazione: (2026)

SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Irony Detection
di: Liu, Ziqi, et al.
Pubblicazione: (2025)

Debate-Driven Multi-Agent LLMs for Phishing Email Detection
di: Nguyen, Ngoc Tuong Vy, et al.
Pubblicazione: (2025)

LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
di: Chen, Zerui, et al.
Pubblicazione: (2026)

ConfAgents: A Conformal-Guided Multi-Agent Framework for Cost-Efficient Medical Diagnosis
di: Zhao, Huiya, et al.
Pubblicazione: (2025)

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

Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering Systems
di: Cho, Seunghyuk, et al.
Pubblicazione: (2026)

Prune4Web: DOM Tree Pruning Programming for Web Agent
di: Zhang, Jiayuan, et al.
Pubblicazione: (2025)

When KV Cache Reuse Fails in Multi-Agent Systems: Cross-Candidate Interaction is Crucial for LLM Judges
di: Liang, Sichu, et al.
Pubblicazione: (2026)