49 citations · 61 across the 6 of their papers we have counts for
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cs.CL2025
Textual Data Bias Detection and Mitigation -- An Extensible Pipeline with Experimental Evaluation
Rebekka Görge, Sujan Sai Gannamaneni, Tabea Naeven +10
Textual data used to train large language models (LLMs) exhibits multifaceted bias manifestations encompassing harmful language and skewed demographic distributions. Regulations su…
cs.CL2024★ 1 cited
LLMs and Memorization: On Quality and Specificity of Copyright Compliance
Felix B Mueller, Rebekka Görge, Anna K Bernzen +2
Memorization in large language models (LLMs) is a growing concern. LLMs have been shown to easily reproduce parts of their training data, including copyrighted work. This is an imp…