Lorenz Sparrenberg

According to our database, Lorenz Sparrenberg authored at least 16 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Knowing When Not to Predict: Self Supervised Learning and Abstention for Safer DR Screening.

Muskaan Chopra, Lorenz Sparrenberg, Jan H. Terheyden, Rafet Sifa

CoRR, May, 2026

Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation.

Wesam Moustafa, Hossam Elsafty, Helen Schneider, Lorenz Sparrenberg, Rafet Sifa

CoRR, January, 2026

Towards Reliable Machine Translation: Scaling LLMs for Critical Error Detection and Safety.

Muskaan Chopra, Lorenz Sparrenberg, Rafet Sifa

Proceedings of the Advances in Information Retrieval, 2026

2025

SynCED-EnDe 2025: A Synthetic and Curated English - German Dataset for Critical Error Detection in Machine Translation.

Muskaan Chopra, Lorenz Sparrenberg, Rafet Sifa

CoRR, October, 2025

Small and Fast LLMs on Commodity Hardware: Post-Training Quantization in llama. cpp.

Lorenz Sparrenberg, Tobias Deußer, Armin Berger, Rafet Sifa

Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics, 2025

Predicting Player Churn with LLMs: A Comprehensive Evaluation of World Knowledge and Reasoning.

Tobias Schneider, Lorenz Sparrenberg, Rafet Sifa

Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics, 2025

Towards Unified Multimodal Financial Forecasting: Integrating Sentiment Embeddings and Market Indicators via Cross-Modal Attention.

Sarthak Khanna, Armin Berger, David Berghaus, Tobias Deußer, Lorenz Sparrenberg, Rafet Sifa

Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics, 2025

A Survey on Current Trends and Recent Advances in Text Anonymization.

Tobias Deußer, Lorenz Sparrenberg, Armin Berger, Max Hahnbück, Christian Bauckhage, Rafet Sifa

Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics, 2025

Reasoning LLMs in the Medical Domain: A Literature Survey.

Armin Berger, Sarthak Khanna, Lorenz Sparrenberg, Tobias Deußer, David Berghaus, Rafet Sifa

Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics, 2025

Towards Uncertainty-Aware Low-Bit Quantized LLMs for On-Device Inference.

Lorenz Sparrenberg, Tobias Schneider, Tobias Deußer, Armin Berger, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2025

How Small Can You Go? Compact Language Models for On-Device Critical Error Detection in Machine Translation.

Muskaan Chopra, Lorenz Sparrenberg, Sarthak Khanna, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2025

From Retinal Pixels to Patients: Evolution of Deep Learning Research in Diabetic Retinopathy Screening.

Muskaan Chopra, Lorenz Sparrenberg, Armin Berger, Sarthak Khanna, Jan H. Terheyden, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Correcting Systematic Bias in LLM-Generated Dialogues Using Big Five Personality Traits.

Lorenz Sparrenberg, Tobias Schneider, Tobias Deußer, Markus Koppenborg, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2024

Leveraging Large Language Models for Few-Shot KPI Extraction from Financial Reports.

Tobias Deußer, Cong Zhao, Daniel Uedelhoven, Lorenz Sparrenberg, Lars Hillebrand, Christian Bauckhage, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2024

A Comparative Study of Large Language Models for Named Entity Recognition in the Legal Domain.

Tobias Deußer, Cong Zhao, Lorenz Sparrenberg, Daniel Uedelhoven, Armin Berger, Maren Pielka, Lars Hillebrand, Christian Bauckhage, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2024

Fusing Speech and Language Models for Dementia Detection.

Tobias Deußer, Abdul Mohsin Siddiqi, Lorenz Sparrenberg, Tobias Adams, Christian Bauckhage, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2024