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How LLMs Audit Each Other: Five Mechanisms of Auditor Bias in Cross-Model Peer Review Under Identity Disclosure and Cross-Lingual Conditions

2026-06-30

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<title>Abstract</title> <p>As large language models (LLMs) are increasingly proposed for automated evaluation of other LLMs, a foundational question remains unanswered: do these models audit consistently when they know the identity of the system they are evaluating, and when the language of the auditing instruction does not match the language of the audited evidence? This paper addresses both questions through th...

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Literature Corpus work
4e85d8e9-d815-5fe4-ac92-5214566f6ef8
DOI
10.21203/rs.3.rs-10171795/v1
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How LLMs Audit Each Other: Five Mechanisms of Auditor Bias in Cross-Model Peer Review Under Identity Disclosure and Cross-Lingual ConditionsDOI 10.21203/rs.3.rs-10171795/v1
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