Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.11247.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Study of 23 open-weight language models finds that a unanimous wrong majority can overturn 22.8% to 71.0% of correct answers depending on dataset. Existing conformity mitigations improve resistance but reduce receptivity, falling on a single tradeoff frontier; reasoning is the only method that improves both on certain tasks.

Defines a Resistance-Receptivity frontier for multi-agent LLM setups with measurements of six mitigation methods. Directly relevant to designing agent collaboration workflows.

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