MANTA: Multi-Agent Network Topology Adaptation for Self-Evolving Multi-Agent Systems
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Overall
85
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95
Popularity
62
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Merged summary
TL;DR - MANTA enables LLM multi-agent systems to adapt their communication topology during inference, restructuring collaboration when the current organization proves insufficient. It achieves a 74.0 average across five benchmarks, beating the strongest baseline by 5.8 percentage points.
- Initializes task-conditioned topologies using prior structural experience.
- Monitors collaboration traces and applies bounded structural updates during deployment.
- Can alter roles, links, execution order, information visibility, and validation pathways while preserving agent budgets and task interfaces.
- Outperforms single- and multi-agent baselines across information seeking, tool use, planning, workflow execution, and mathematical reasoning.
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MANTA: Multi-Agent Network Topology Adaptation for Self-Evolving Multi-Agent Systems
Public signals
Hugging Face upvotes 6
TL;DR - MANTA enables LLM multi-agent systems to adapt their communication topology during inference, restructuring collaboration when the current organization proves insufficient. It achieves a 74.0 average across five benchmarks, beating the strongest baseline by 5.8 percentage points.
- Initializes task-conditioned topologies using prior structural experience.
- Monitors collaboration traces and applies bounded structural updates during deployment.
- Can alter roles, links, execution order, information visibility, and validation pathways while preserving agent budgets and task interfaces.
- Outperforms single- and multi-agent baselines across information seeking, tool use, planning, workflow execution, and mathematical reasoning.