Armin Berger

According to our database, Armin Berger authored at least 25 papers between 2010 and 2026.

Collaborative distances:

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

2026

Domain-Adaptation through Synthetic Data: Fine-Tuning Large Language Models for German Law.

Ali Hamza Bashir, Muhammad Rehan Khalid, Kostadin Cvejoski, Jana Birr, Jule Berghaus, Armin Berger, Sandra Halscheidt, Christian Temath, Rafet Sifa, David Berghaus

CoRR, January, 2026

2025

Benchmark Success, Clinical Failure: When Reinforcement Learning Optimizes for Benchmarks, Not Patients.

Armin Berger, Manuela Bergau, Helen Schneider, Saad Ahmad, Tom Anglim Lagones, Gianluca Brugnara, Martha Foltyn-Dumitru, Kai Schlamp, Philipp Vollmuth, Rafet Sifa

CoRR, December, 2025

Reasoning LLMs in the Medical Domain: A Literature Survey.

Armin Berger, Sarthak Khanna, David Berghaus, Rafet Sifa

CoRR, August, 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

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

History Rhymes: Macro-Contextual Retrieval for Robust Financial Forecasting.

Sarthak Khanna, Armin Berger, Muskaan Chopra, David Berghaus, 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

Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing.

David Berghaus, Armin Berger, Lars Hillebrand, Kostadin Cvejoski, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance.

Lars Hillebrand, Armin Berger, Daniel Uedelhoven, David Berghaus, Ulrich Warning, Tim Dilmaghani Khameneh, Bernd Kliem, Thomas Schmid, Rüdiger Loitz, 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

Tackling Data Sparsity and Combinatorial Challenges in Rare Disease Matching with Medical Informed Machine Learning.

Armin Berger, Tom Anglim Lagones, Lorenz Grigull, Lara Fendrich, Thiago Bell, Henriette Högl, Gundula Ernst, Ralf Schmidt, David Bascom, Rafet Sifa, Max Lübbering

Proceedings of the IEEE International Conference on Big Data, 2024

Optimizing Rare Disease Patient Matching with Large Language Models.

Armin Berger, Ali Hamza Bashir, David Berghaus, Mowmita, Nazia Afsan, Lorenz Grigull, Lara Fendrich, Henriette Högl, Gundula Ernst, Ralf Schmidt, David Bascom, Tom Anglim Lagones, Tobias Deußer, Thiago Bell, Max Lübbering, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2024

Advancing Personalized Medicine: A Scalable LLM-based Recommender System for Patient Matching.

Armin Berger, David Berghaus, Ali Hamza Bashir, Lorenz Grigull, Lara Fendrich, Tom Anglim Lagones, Henriette Högl, Gundula Ernst, Ralf Schmidt, David Bascom, Tobias Deußer, Thiago Bell, Max Lübbering, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2024

Fine-Tuning Large Language Models for Compliance Checks.

Thiago Bell, David Leonhard, Ali Hamza Bashir, Tim Dilmaghani Khameneh, Mohamed Khaled, Ulrich Warning, Rüdiger Loitz, Sandra Halscheidt, Jana Birr, Armin Berger, Rafet Sifa, David Berghaus

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models.

Lars Hillebrand, Armin Berger, Tobias Deußer, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Maren Pielka, David Leonhard, Christian Bauckhage, Rafet Sifa

Proceedings of the ACM Symposium on Document Engineering 2023, 2023

Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models.

Tobias Deußer, David Leonhard, Lars Hillebrand, Armin Berger, Mohamed Khaled, Sarah Heiden, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2023

Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models.

Armin Berger, Lars Hillebrand, David Leonhard, Tobias Deußer, Thiago Bell Felix de Oliveira, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2023

2021

RTK-LoRa: High-Precision, Long-Range, and Energy-Efficient Localization for Mobile IoT Devices.

Philipp Mayer, Michele Magno, Armin Berger, Luca Benini

IEEE Trans. Instrum. Meas., 2021

2020

QURATOR: Innovative Technologies for Content and Data Curation.

Georg Rehm, Peter Bourgonje, Stefanie Hegele, Florian Kintzel, Julián Moreno Schneider, Malte Ostendorff, Karolina Zaczynska, Armin Berger, Stefan Grill, Sören Räuchle, Jens Rauenbusch, Lisa Rutenburg, André Schmidt, Mikka Wild, Henry Hoffmann, Julian Fink, Sarah Schulz, Jurica Seva, Joachim Quantz, Joachim Böttger, Josefine Matthey, Rolf Fricke, Jan Thomsen, Adrian Paschke, Jamal Al Qundus, Thomas Hoppe, Naouel Karam, Frauke Weichhardt, Christian Fillies, Clemens Neudecker, Mike Gerber, Kai Labusch, Vahid Rezanezhad, Robin Schaefer, David Zellhöfer, Daniel Siewert, Patrick Bunk, Lydia Pintscher, Elena Aleynikova, Franziska Heine

Proceedings of the Conference on Digital Curation Technologies (Qurator 2020), Berlin, Germany, January 20th, 2020

2017

Different Types of Automated and Semi-automated Semantic Storytelling: Curation Technologies for Different Sectors.

Georg Rehm, Julián Moreno Schneider, Peter Bourgonje, Ankit Srivastava, Rolf Fricke, Jan Thomsen, Jing He, Joachim Quantz, Armin Berger, Luca König, Sören Räuchle, Jens Gerth, David Wabnitz

Proceedings of the Language Technologies for the Challenges of the Digital Age, 2017

Event Detection and Semantic Storytelling: Generating a Travelogue from a large Collection of Personal Letters.

Georg Rehm, Julián Moreno Schneider, Peter Bourgonje, Ankit Srivastava, Jan Nehring, Armin Berger, Luca König, Sören Räuchle, Jens Gerth

Proceedings of the Events and Stories in the News Workshop@ACL 2017, 2017

2010

Multiple instance learning from multiple cameras.

Peter M. Roth, Christian Leistner, Armin Berger, Horst Bischof

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010