Large Language Models Do Not Simulate Human Psychology

Schroeder S, Morgenroth T, Kuhl U, Vaquet V, Paaßen B (2025)
arXiv.

Evaluating Concept Discovery Methods for Sensitive Attributes in Language Models

Schroeder S, Schulz A, Hammer B (2025)
In: ESANN 2025 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 669-674.

The SAME score: Improved cosine based measure for semantic bias

Schroeder S, Schulz A, Hammer B (2024)
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-8.

Semantic Properties of Cosine Based Bias Scores for Word Embeddings

Schroeder S, Schulz A, Hinder F, Hammer B (2024)
In: Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. Vol. 1. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 160-168.

So Can We Use Intrinsic Bias Measures or Not?

Schroeder S, Schulz A, Kenneweg P, Hammer B (2023)
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 403-410.

Debiasing Sentence Embedders Through Contrastive Word Pairs

Kenneweg P, Schroeder S, Schulz A, Hammer B (2023)
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 205-212.

Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation

Schroeder S, Schulz A, Tarakanov I, Feldhans R, Hammer B (2023)
In: Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 134-145.

Neural Architecture Search for Sentence Classification with BERT

Kenneweg P, Schroeder S, Hammer B (2022)
In: ESANN 2022 proceedings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 417-422.

Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers

Kenneweg P, Schulz A, Schroeder S, Hammer B (2022)
In: Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Yin H, Camacho D, Tino P (Eds); Lecture Notes in Computer Science, 13756. Cham: Springer International Publishing: 252-261.