PerSo: Investigating Facets of LLMs' Social Intelligence in Real-World Persuasion Scenarios
Paper recorded by Signals 4 on 2026-10-14 in cs.AI. Abstract reproduced from arXiv; link to the original below.
Published 2026-10-14 on arXiv · recorded by Signals 4 on 2026-10-15
Category: cs.AI · 人工智能 · first seen 2026-10-15
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 intelligence, the ability to infer others' mental states, and behavioral intelligence, the ability to select appropriate social actions based on these inferences to achieve
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Cite this page: PerSo: Investigating Facets of LLMs' Social Intelligence in Real-World Persuasion Scenarios: the #313 most recent of 960 cs.AI papers we have recorded (as of 2026-10-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/perso-investigating-facets-of-llms-social-intelligence-in-real-world-persuasion-.html
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