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A gradient-based head attribution strategy where the Token-level Max-Margin loss is backpropagated to the attention maps enables a large-scale causal analysis of attention heads, making it suitable for LLMs.
An AI audit of popular chatbots using real commercial-advice queries shows that neither isolated responses nor API observations can be assumed to represent the commercial advice consumers encounter, and independent audits of AI-mediated commercial advice should account for repeated responses, consumer-facing conditions...
Automatic speech recognition (ASR) systems exhibit unequal error rates across speaker groups, motivating interventions on their internal representations. We ask whether speaker-linked attributes that are linearly readable from pretrained ASR encoders yield useful directions for reducing group word-error-rate (WER) gaps...
While English language models have been widely examined for anti-queer bias, Dutch models remain understudied. To address this gap, we developed a culturally and linguistically adapted Dutch dataset based on the English WinoQueer benchmark, containing pairs of stereotypical and counter-stereotypical sentences. To valid...
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