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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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#313 most recent of 960 cs.AI papers we have recorded · ↑ newer: PhySGA: A Physics-Space Grounded Agentic Framework for Generalizable a · ↓ older: Detection of Potato Plant Leaf Diseases using Convolutional Neural Net
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
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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