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New benchmark PerSo tests LLM social intelligence in real-world persuasion

Researchers have introduced PerSo, a new benchmark designed to evaluate the social intelligence of large language models (LLMs) in real-world persuasion scenarios. The benchmark assesses both cognitive intelligence, the ability to infer mental states, and behavioral intelligence, the ability to choose appropriate social actions. PerSo utilizes dialogues from Reddit's ChangeMyView community and an LLM-in-the-loop pipeline for task construction, validated by human annotation. Evaluations show that while larger models generally perform better, the best LLM slightly exceeds human performance on behavioral tasks, but humans still outperform LLMs on cognitive inference. AI

IMPACT This benchmark could drive development of more socially aware and effective LLMs for human-AI interaction.

RANK_REASON The item describes a new academic paper introducing a benchmark for evaluating LLM capabilities. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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New benchmark PerSo tests LLM social intelligence in real-world persuasion

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The item describes a new academic paper introducing a benchmark for evaluating LLM capabilities. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Ali Zamani, Soroush Esfahanian, Erfan Shahabi, Mohammad Taher Pilehvar, Azadeh Shakery, Yadollah Yaghoobzadeh ·

    PerSo: Investigating Facets of LLMs' Social Intelligence in Real-World Persuasion Scenarios

    arXiv:2610.20548v1 Announce Type: new Abstract: Understanding the social intelligence of large language models (LLMs) is increasingly important for applications involving human-AI interaction and multi-agent environments. Social intelligence comprises two aspects: cognitive intel…