8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CL2025
What Is The Political Content in LLMs' Pre- and Post-Training Data?
Tanise Ceron, Dmitry Nikolaev, Dominik Stammbach +1
Large language models (LLMs) reflect politically-slanted opinions in their generated text. Even though it is widely assumed that model behavior stem from training data, there has b…
cs.CL2024★ 8 cited
The Unseen Targets of Hate -- A Systematic Review of Hateful Communication Datasets
Zehui Yu, Indira Sen, Dennis Assenmacher +5
Machine learning (ML)-based content moderation tools are essential to keep online spaces free from hateful communication. Yet, ML tools can only be as capable as the quality of the…