Papers with trust-aware message attenuation

1 papers
NeuralFSM: Adaptive Multi-Agent Coordination via Learning Finite-State Execution Policy (2026.acl-long)

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Challenge: Existing approaches to multi-agent problem solving rely on hand-crafted protocols or automatically designed topologies.
Approach: They propose a state-driven framework that formulates multi-agent problem solving as a finite-state execution process.
Outcome: The proposed framework outperforms baselines on diverse benchmarks by 6.74%–19.39% while reducing token consumption.

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