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20232026
most citedCoPT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning

2 citations · 3 across the 12 of their papers we have counts for

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eess.AS2026

The Voice Behind the Words: Quantifying Intersectional Bias in SpeechLLMs

Shree Harsha Bokkahalli Satish, Christoph Minixhofer, Maria Teleki +5

Speech Large Language Models (SpeechLLMs) process spoken input directly, retaining cues such as accent and perceived gender that were previously removed in cascaded pipelines. This…