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Emergent Numeric Bias in Large Language Models: An Empirical Study on the Anomalous Recurrence of the Number 27 Across Independent Sessions

2025-07-16

Abstract excerpt

<title>Abstract</title> <p>Recent advancements in Large Language Models (LLMs), including OpenAI’s ChatGPT-4, Anthropic’s Claude 3, and Google’s Gemini Pro and Gemini Flash, have demonstrated exceptional linguistic fluency and contextual reasoning. However, certain behavioural patterns—especially those shaped by token distribution biases—remain underexplored. This study investigates a peculiar and reproducible ph...

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Literature Corpus work
c2159bef-5624-5c9e-9e2a-febd3e347017
DOI
10.21203/rs.3.rs-7128459/v1
Open publication

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Emergent Numeric Bias in Large Language Models: An Empirical Study on the Anomalous Recurrence of the Number 27 Across Independent SessionsDOI 10.21203/rs.3.rs-7128459/v1
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