| 2026 | ESANN | Linearity of Sensitive Concepts in Language Models. | Sarah Schrder, Valerie Vaquet, Barbara Hammer |
| 2025 | ESANN | Evaluating Concept Discovery Methods for Sensitive Attributes in Language Models. | Sarah Schrder, Alexander Schulz, Barbara Hammer |
| 2024 | ICPRAM | Semantic Properties of Cosine Based Bias Scores for Word Embeddings. | Sarah Schrder, Alexander Schulz, Fabian Hinder, Barbara Hammer |
| 2024 | IJCNN | The SAME score: Improved cosine based measure for semantic bias. | Sarah Schrder, Alexander Schulz, Barbara Hammer |
| 2023 | ICPRAM | Debiasing Sentence Embedders Through Contrastive Word Pairs. | Philip Kenneweg, Sarah Schrder, Alexander Schulz, Barbara Hammer |
| 2023 | ICPRAM | So Can We Use Intrinsic Bias Measures or Not? | Sarah Schrder, Alexander Schulz, Philip Kenneweg, Barbara Hammer |
| 2023 | IWANN | Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. | Sarah Schrder, Alexander Schulz, Ivan Tarakanov, Robert Feldhans, Barbara Hammer |
| 2022 | ESANN | Neural Architecture Search for Sentence Classification with BERT. | Philip Kenneweg, Sarah Schrder, Barbara Hammer |
| 2022 | IDEAL | Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers. | Philip Kenneweg, Alexander Schulz, Sarah Schrder, Barbara Hammer |