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New framework measures LLM persuasive and compliant tendencies in group decisions

A new framework called DecisionQE has been developed to measure the persuasive and compliant tendencies of large language models (LLMs) in group decision-making scenarios. Using the Werewolf game as a testbed, researchers found that while persuasive tendencies did not significantly improve group outcomes, compliant models showed more stable advantages in cooperation. The study suggests that LLMs can offer insights into sociological observations of language-mediated interactions and highlights the importance of incorporating behavioral tendencies into LLM safety evaluations. AI

IMPACT This research could lead to more robust safety evaluations for LLMs by quantifying their behavioral tendencies in social interactions.

RANK_REASON The cluster contains a research paper detailing a new framework for evaluating LLM behavior. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New framework measures LLM persuasive and compliant tendencies in group decisions

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Wenwen He, Wenke Huang, Wei Yang Bryan Lim, Dacheng Tao ·

    Persuasive and Compliant Tendencies Predict Group Decision-Making in Humans and Language Models

    arXiv:2608.08199v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly involved in group decision-making with other LLMs and humans. Yet it remains unclear whether their influence is driven by persuasion-oriented expression or compliance-oriented accommodat…