activity
20242026
most citedComprehensive Study on German Language Models for Clinical and Biomedical Text Understanding

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2026

AIANO: Enhancing Information Retrieval with AI-Augmented Annotation

Sameh Khattab, Marie Bauer, Lukas Heine +3

The rise of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) has rapidly increased the need for high-quality, curated information retrieval datasets. These dat…

cs.CV2025

Automatic Fine-grained Segmentation-assisted Report Generation

Frederic Jonske, Constantin Seibold, Osman Alperen Koras +6

Reliable end-to-end clinical report generation has been a longstanding goal of medical ML research. The end goal for this process is to alleviate radiologists' workloads and provid…

cs.CL2025

MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters

Amin Dada, Osman Alperen Koras, Marie Bauer +4

While increasing patients' access to medical documents improves medical care, this benefit is limited by varying health literacy levels and complex medical terminology. Large langu…

cs.CL2024★ 3 cited

Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding

Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer +17

Recent advances in natural language processing (NLP) can be largely attributed to the advent of pre-trained language models such as BERT and RoBERTa. While these models demonstrate…

cs.CL2024★ 3 cited

Does Biomedical Training Lead to Better Medical Performance?

Amin Dada, Marie Bauer, Amanda Butler Contreras +4

Large Language Models (LLMs) are expected to significantly contribute to patient care, diagnostics, and administrative processes. Emerging biomedical LLMs aim to address healthcare…