Tobias Deußer

According to our database, Tobias Deußer authored at least 13 papers between 2022 and 2023.

Collaborative distances:

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

2023

Informed Named Entity Recognition Decoding for Generative Language Models.

Tobias Deußer, Lars Hillebrand, Christian Bauckhage, Rafet Sifa

CoRR, 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

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 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

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

Controlled Randomness Improves the Performance of Transformer Models.

Tobias Deußer, Cong Zhao, Wolfgang Krämer, David Leonhard, Christian Bauckhage, Rafet Sifa

Proceedings of the International Conference on Machine Learning and Applications, 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

Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 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

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

Proceedings of the 26th International Conference on Pattern Recognition, 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

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 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

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 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

Proceedings of the Machine Learning and Knowledge Extraction, 2022

Towards automating Numerical Consistency Checks in Financial Reports.

Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa

Proceedings of the IEEE International Conference on Big Data, 2022