Lars Patrick Hillebrand

According to our database, Lars Patrick Hillebrand authored at least 21 papers between 2009 and 2024.

Collaborative distances:

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

2024

Pointer-Guided Pre-training: Infusing Large Language Models with Paragraph-Level Contextual Awareness.

Lars Hillebrand, Prabhupad Pradhan, Christian Bauckhage, Rafet Sifa

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Informed Named Entity Recognition Decoding for Generative Language Models.

Tobias Deußer, Lars Hillebrand, Christian Bauckhage, Rafet Sifa

CoRR, 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

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

Anonymization of German financial documents using neural network-based language models with contextual word representations.

David Biesner, Rajkumar Ramamurthy, Robin Stenzel, Max Lübbering, Lars Patrick Hillebrand, Anna Ladi, Maren Pielka, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa

Int. J. Data Sci. Anal., 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

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

2021

Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM.

Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa

Mach. Learn. Knowl. Extr., 2021

Knowledge Graph Based Question Answering System for Financial Securities.

Marius Bulla, Lars Patrick Hillebrand, Max Lübbering, Rafet Sifa

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

2020

Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3.

David Biesner, Eduardo Brito, Lars Patrick Hillebrand, Rafet Sifa

Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, 2020

Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks.

Maren Pielka, Rafet Sifa, Lars Patrick Hillebrand, David Biesner, Rajkumar Ramamurthy, Anna Ladi, Christian Bauckhage

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM.

Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa

Proceedings of the Machine Learning and Knowledge Extraction, 2020

2019

Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification.

Eduardo Brito, Max Lübbering, David Biesner, Lars Patrick Hillebrand, Christian Bauckhage

CoRR, 2019

Towards Contradiction Detection in German: a Translation-Driven Approach.

Rafet Sifa, Maren Pielka, Rajkumar Ramamurthy, Anna Ladi, Lars Patrick Hillebrand, Christian Bauckhage

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Towards Automated Auditing with Machine Learning.

Rafet Sifa, Anna Ladi, Maren Pielka, Rajkumar Ramamurthy, Lars Patrick Hillebrand, Birgit Kirsch, David Biesner, Robin Stenzel, Thiago Bell, Max Lübbering, Ulrich Nütten, Christian Bauckhage, Ulrich Warning, Benedikt Fürst, Tim Dilmaghani Khameneh, Daniel Thom, Ilgar Huseynov, Roland Kahlert, Jennifer Schlums, Hisham Ismail, Bernd Kliem, Rüdiger Loitz

Proceedings of the ACM Symposium on Document Engineering 2019, 2019

2009

Echtzeitfähige Rekonstruktion für die Flachdetektor-Computertomographie auf Grafikhardware.

Lars Hillebrand

PhD thesis, 2009