Co-occurring keywords · papers mentioning both
Papers
AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems
ACL 2026
Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation
AAAI 2026
DAWN: Distributed LLM Multi-Agent Workflow Synthesis
AAAI 2026
Dynamic Generation of Multi LLM Agents Communication Topologies with Graph Diffusion Models
ACL 2026
MPAS: Breaking Sequential Constraints of Multi-Agent Communication Topologies via Individual-Epistemic Message Propagation
AAAI 2026
RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems
ACL 2026
AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
ACL 2025
AMAS: Adaptively Determining Communication Topology for LLM-based Multi-agent System
EMNLP 2025
From Promise to Practice: Realizing High-performance Decentralized Training
ICLR 2025
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
ICML 2025
Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems
EMNLP 2025
Improving Multi-Agent Debate with Sparse Communication Topology
EMNLP 2024
PMAC: Personalized Multi-Agent Communication
AAAI 2024
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data
AISTATS 2023
Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate
NeurIPS 2022
Topology-aware Generalization of Decentralized SGD
ICML 2022
Exponential Graph is Provably Efficient for Decentralized Deep Training
NeurIPS 2021
Decentralized gradient methods: does topology matter?
AISTATS 2020
KungFu: Making Training in Distributed Machine Learning Adaptive
OSDI 2020