Does Multi-Agent Collaboration Pay When Agents Serve Users? Testing Agent Scaling in Dual-Control Settings
4.40T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2610.27655.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA pre-registered study of ~7,950 simulated conversations on τ²-bench testing whether multi-agent LLM systems outperform single-agent systems when serving users, across six models and three domains. The multi-agent system was worse in 12 of 13 valid cells and matched the single-agent baseline only at 5.5x the token cost.
Why it mattersTests a widely held assumption (multi-agent beats single-agent) in the actual setting agents are deployed, with pre-registered protocol, public change log, and released trajectories, ledgers, and code. The negative result challenges default architecture choices for user-facing agents.
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