Towards automating Numerical Consistency Checks in Financial Reports. - Lars Patrick Hillebrand; Tobias Deußer; Tim Dilmaghani Khameneh; Bernd Kliem; Rüdiger Loitz; Christian Bauckhage; Rafet Sifa (IEEE Big Data, 2022)

Towards Generating Financial Reports from Tabular Data Using Transformers. - Clayton Leroy Chapman; Lars Patrick Hillebrand; Marc Robin Stenzel; Tobias Deußer; David Biesner; Christian Bauckhage; Rafet Sifa (CD-MAKE, 2022)

KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents. - Tobias Deußer; Syed Musharraf Ali; Lars Patrick Hillebrand; Desiana Nurchalifah; Basil Jacob; Christian Bauckhage; Rafet Sifa (ICMLA, 2022)

A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives. - Maren Pielka; Felix Rode; Lisa Pucknat; Tobias Deußer; Rafet Sifa (ICMLA, 2022)

KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports. - Lars Patrick Hillebrand; Tobias Deußer; Tim Dilmaghani Khameneh; Bernd Kliem; Rüdiger Loitz; Christian Bauckhage; Rafet Sifa (ICPR, 2022)

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 (IEEE Big Data, 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 (IEEE Big Data, 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 (DocEng, 2023)

sustain.AI: a Recommender System to analyze Sustainability Reports. - Lars Hillebrand; Maren Pielka; David Leonhard; Tobias Deußer; Tim Dilmaghani Khameneh; Bernd Kliem; Rüdiger Loitz; Milad Morad; Christian Temath; Thiago Bell; Robin Stenzel; Rafet Sifa (ICAIL, 2023)

Controlled Randomness Improves the Performance of Transformer Models. - Tobias Deußer; Cong Zhao; Wolfgang Krämer; David Leonhard; Christian Bauckhage; Rafet Sifa (ICMLA, 2023)

Automatic Consistency Checking of Table and Text in Financial Documents. - Syed Musharraf Ali; Tobias Deußer; Sebastian Houben; Lars Patrick Hillebrand; Tim Metzler; Rafet Sifa (NLDL, 2023)

Contradiction Detection in Financial Reports. - Tobias Deußer; Maren Pielka; Lisa Pucknat; Basil Jacob; Tim Dilmaghani Khameneh; Mahdis Nourimand; Bernd Kliem; Rüdiger Loitz; Christian Bauckhage; Rafet Sifa (NLDL, 2023)

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; et al. (IEEE 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; et al. (IEEE Big Data, 2024)

Informed Named Entity Recognition Decoding for Generative Language Models. - Tobias Deußer; Lars Hillebrand; Christian Bauckhage; Rafet Sifa (IEEE Big Data, 2024)

Fusing Speech and Language Models for Dementia Detection. - Tobias Deußer; Abdul Mohsin Siddiqi; Lorenz Sparrenberg; Tobias Adams; Christian Bauckhage; Rafet Sifa (IEEE 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 (IEEE 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 (IEEE Big Data, 2024)

Correcting Systematic Bias in LLM-Generated Dialogues Using Big Five Personality Traits. - Lorenz Sparrenberg; Tobias Schneider; Tobias Deußer; Markus Koppenborg; Rafet Sifa (IEEE Big Data, 2024)

Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models. - Tobias Deußer; Max Hahnbück; Tobias Uelwer; Cong Zhao; Christian Bauckhage; Rafet Sifa (COLING (Industry), 2025)

ArDia: Improving Arabic Dialectal Language Classification Using a Novel Dataset. - Hossam Elsafty; Bouthaina Abdou; Tobias Deußer; Maren Pielka; Christian Bauckhage; Rafet Sifa (ICWSM, 2025)