Evaluating Metrics for Bias in Word Embeddings. - Sarah Schröder; Alexander Schulz 001; Philip Kenneweg; Robert Feldhans; Fabian Hinder; Barbara Hammer (CoRR, 2021)

Neural Architecture Search for Sentence Classification with BERT. - Philip Kenneweg; Sarah Schröder; Barbara Hammer (ESANN, 2022)

Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers. - Philip Kenneweg; Alexander Schulz 001; Sarah Schröder; Barbara Hammer (IDEAL, 2022)

The SAME score: Improved cosine based bias score for word embeddings. - Sarah Schröder; Alexander Schulz 001; Philip Kenneweg; Robert Feldhans; Fabian Hinder; Barbara Hammer (CoRR, 2022)

Debiasing Sentence Embedders Through Contrastive Word Pairs. - Philip Kenneweg; Sarah Schröder; Alexander Schulz 001; Barbara Hammer (ICPRAM, 2023)

So Can We Use Intrinsic Bias Measures or Not? - Sarah Schröder; Alexander Schulz 001; Philip Kenneweg; Barbara Hammer (ICPRAM, 2023)

Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. - Sarah Schröder; Alexander Schulz 001; Ivan Tarakanov; Robert Feldhans; Barbara Hammer (IWANN (1), 2023)

Semantic Properties of Cosine Based Bias Scores for Word Embeddings. - Sarah Schröder; Alexander Schulz 001; Fabian Hinder; Barbara Hammer (ICPRAM, 2024)

The SAME score: Improved cosine based measure for semantic bias. - Sarah Schröder; Alexander Schulz 001; Barbara Hammer (IJCNN, 2024)

Conceptualizing Uncertainty. - Isaac Roberts; Alexander Schulz 001; Sarah Schröder; Fabian Hinder; Barbara Hammer (CoRR, 2025)

Large Language Models Do Not Simulate Human Psychology. - Sarah Schröder; Thekla Morgenroth; Ulrike Kuhl; Valerie Vaquet; Benjamin Paaßen (CoRR, 2025)