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cs.CL2026
ToxiGAN: Toxic Data Augmentation via LLM-Guided Directional Adversarial Generation
Peiran Li, Jan Fillies, Adrian Paschke
Augmenting toxic language data in a controllable and class-specific manner is crucial for improving robustness in toxicity classification, yet remains challenging due to limited su…
cs.CL2025
Mapping Toxic Comments Across Demographics: A Dataset from German Public Broadcasting
Jan Fillies, Michael Peter Hoffmann, Rebecca Reichel +3
A lack of demographic context in existing toxic speech datasets limits our understanding of how different age groups communicate online. In collaboration with funk, a German public…
cs.CL2025
Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration
Jan Fillies, Adrian Paschke
Algorithmic hate speech detection faces significant challenges due to the diverse definitions and datasets used in research and practice. Social media platforms, legal frameworks,…