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LLMs show consistent social attraction judgments, but differ from humans

By PulseAugur Editorial · [2 sources] ·

A new research paper investigates the ability of large language models (LLMs) to judge social attraction, comparing their assessments to human judgments. The study found that while LLMs demonstrated stability and consistency in ordering profiles across three tiers of attractiveness, they tended to rate attractive profiles more positively and unattractive ones more negatively than humans. The research also explored the impact of gender presentation, finding no significant effects from gendered names, pronouns, or gender-neutral names in either LLM or human evaluations. AI

IMPACT This research suggests LLMs can be trained for subjective evaluations, but highlights differences in their judgment compared to humans, indicating areas for further development in AI social intelligence.

RANK_REASON The cluster contains an academic paper detailing research findings on LLM capabilities.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LLMs show consistent social attraction judgments, but differ from humans

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The cluster contains an academic paper detailing research findings on LLM capabilities.
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2 independent sources
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High
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47 days old
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Hasan Mahmud, Khawaja Abaid Ullah, Mohammad Javad Khojasteh, Jamison Heard, Prabu David ·

    How Do Large Language Models Judge Social Attraction? Evidence from Theory-Grounded Persona Ratings Across Multiple LLMs and Humans

    arXiv:2608.09717v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used to perform subjective evaluations traditionally made by humans, yet their validity as social judges remains unclear. This paper examines whether LLMs can assess social attraction …

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    How Do Large Language Models Judge Social Attraction? Evidence from Theory-Grounded Persona Ratings Across Multiple LLMs and Humans

    Large language models (LLMs) are increasingly used to perform subjective evaluations traditionally made by humans, yet their validity as social judges remains unclear. This paper examines whether LLMs can assess social attraction from theory-grounded persona profiles constructed …

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