Benefits and Limitations of Communication in Multi-Agent Reasoning
3.60T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2510.13903.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryProposes a theoretical framework for multi-agent LLM systems, deriving bounds on agent count, inter-agent communication, and achievable speedups for state tracking, recall, and k-hop reasoning, validated by controlled experiments on pretrained LLMs with synthetic benchmarks.
Why it mattersFormal bounds on when multi-agent LLM communication provably helps, with empirical confirmation. Useful for deciding whether to split tasks across agents versus keeping them single-agent.
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