Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2604.02668.

Pipeline notes

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

Research paper studying sycophancy propagation in multi-agent LLM discussions. Controlled experiments with six open-source LLMs show that giving agents peer sycophancy rankings reduces error cascades and improves final discussion accuracy by 10.5% absolute.

First controlled study of sycophancy in multi-agent setups; the proposed peer-ranking mitigation is lightweight, reproducible, and quantifiably improves downstream accuracy.

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