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Language-model groups overstate consensus when replaying human deliberation on a reasoning task

Shao, Tengfei
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagecomputers-and-societymultiagent-systems
Full-consensus rates are often treated as indicators of collective cognition, yet depend on how participation and final states are operationalized. We replayed 100 held-out human Wason groups with matched large language model (LLM) agent groups, seeding one belief-anchored agent per participant's pr
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