Papers/2608.20347
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Who Do Language Models Think Is Competent? A Mechanistic Analysis of Occupational Bias

Author1, Author2, Author3, Author4, Author5

biasrepresentationcausal analysislanguage models
2608.20347
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2h ago

Abstract

This study reveals that language models exhibit representational biases regarding user competence, even when behavioral biases are not apparent.

Reality Card

Core Claim

The study demonstrates that demographic attributes influence language models' internal representations of user expertise, which can affect model behavior despite no observable behavioral bias.

Method / Result

The introduction of a causal framework that decomposes occupational bias into internal representations and observable outputs.

Limitations

The study may face challenges in reproducibility due to the complexity of causal frameworks and the variability in model architectures.

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