RESEARCHMonitorWATCHLIST
Phantom Consensus: Measuring Social Reasoning in Multi-Agent LLM Decision-Making
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Research identifies phantom consensus in multi-agent LLMs, where models shift public decisions despite conflicting private judgments.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 9 November 2026
- Collected by OneBench
- 10 Nov 2026, 02:01 UK
Stored source excerpt
arXiv:2611.08971v1 Announce Type: cross Abstract: Multi-agent LLM systems increasingly aggregate judgments across model instances, but reasoning about other agents can itself introduce failure. We study…
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