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AI Models & Benchmarks
Silent Dissent: LLM Agents That Yield to the Majority Still Represent Their Original Premise
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- Authors
- Ziang Ni, Peng Zou
- Venue
- arXiv preprint (not peer-reviewed)
- Published
- 2026-10-02
- ID
- arXiv:2610.02702
How to cite it
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APA
Ni, Z., & Zou, P. (2026). Silent Dissent: LLM Agents That Yield to the Majority Still Represent Their Original Premise. arXiv preprint (not peer-reviewed). https://arxiv.org/abs/2610.02702
MLA
Ni, Ziang, et al. "Silent Dissent: LLM Agents That Yield to the Majority Still Represent Their Original Premise." arXiv preprint (not peer-reviewed), 2026, https://arxiv.org/abs/2610.02702.
BibTeX
@article{ni2026silent,
title = {Silent Dissent: LLM Agents That Yield to the Majority Still Represent Their Original Premise},
author = {Ziang Ni and Peng Zou},
journal = {arXiv preprint (not peer-reviewed)},
year = {2026},
url = {https://arxiv.org/abs/2610.02702},
}What it is
Research paper by Ziang Ni and Peng Zou (arXiv, October 2026) on multi-agent debate. When scripted peers unanimously give a wrong answer, AI agents that switch answers often still hold their original reasoning step internally, which the authors detect inside four open-weight models. Not peer-reviewed.
Topics
Added Oct 7, 2026 · 0 opens