1 citations · 1 across the 1 of their papers we have counts for
2 papers
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.AI2024★ 1 cited
Developing trustworthy AI applications with foundation models
Michael Mock, Sebastian Schmidt, Felix Müller +6
The trustworthiness of AI applications has been the subject of recent research and is also addressed in the EU's recently adopted AI Regulation. The currently emerging foundation m…