AI RESEARCH
TMAS: Scaling Test-Time Compute via Multi-Agent Synergy
arXiv CS.AI
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ArXi:2605.10344v1 Announce Type: new Test-time scaling has become an effective paradigm for improving the reasoning ability of large language models by allocating additional computation during inference. Recent structured approaches have further advanced this paradigm by organizing inference across multiple trajectories, refinement rounds, and verification-based feedback.