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2020 – today
- 2024
[c20]Tobias Deußer, Cong Zhao, Lorenz Sparrenberg
, Daniel Uedelhoven, Armin Berger, Maren Pielka, Lars Hillebrand, Christian Bauckhage, Rafet Sifa:
A Comparative Study of Large Language Models for Named Entity Recognition in the Legal Domain. IEEE Big Data 2024: 4737-4742- [c19]Tobias Deußer, Cong Zhao, Daniel Uedelhoven, Lorenz Sparrenberg, Lars Hillebrand, Christian Bauckhage, Rafet Sifa:
Leveraging Large Language Models for Few-Shot KPI Extraction from Financial Reports. IEEE Big Data 2024: 4864-4868 - [c18]Tobias Deußer, Lars Hillebrand, Christian Bauckhage, Rafet Sifa:
Informed Named Entity Recognition Decoding for Generative Language Models. IEEE Big Data 2024: 6001-6010 - [c17]Lars Hillebrand, Armin Berger, Daniel Uedelhoven, David Berghaus, Ulrich Warning, Tim Dilmaghani Khameneh, Bernd Kliem, Thomas Schmid, Rüdiger Loitz, Rafet Sifa:
Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance. IEEE Big Data 2024: 8668-8670 - [c16]Lars Hillebrand, Prabhupad Pradhan, Christian Bauckhage, Rafet Sifa:
Pointer-Guided Pre-training: Infusing Large Language Models with Paragraph-Level Contextual Awareness. ECML/PKDD (4) 2024: 386-402 - [i8]Lars Hillebrand, Prabhupad Pradhan, Christian Bauckhage, Rafet Sifa:
Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual Awareness. CoRR abs/2406.04156 (2024) - 2023
- [c15]Tobias Deußer, David Leonhard, Lars Hillebrand, Armin Berger, Mohamed Khaled, Sarah Heiden, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models. IEEE Big Data 2023: 2814-2822 - [c14]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:
Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models. IEEE Big Data 2023: 4626-4635 - [c13]Lars Hillebrand, Armin Berger, Tobias Deußer, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Maren Pielka, David Leonhard, Christian Bauckhage, Rafet Sifa:
Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models. DocEng 2023: 9:1-9:4 - [c12]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:
sustain.AI: a Recommender System to analyze Sustainability Reports. ICAIL 2023: 412-416 - [c11]Syed Musharraf Ali, Tobias Deußer, Sebastian Houben, Lars Patrick Hillebrand, Tim Metzler, Rafet Sifa:
Automatic Consistency Checking of Table and Text in Financial Documents. NLDL 2023 - [i7]Lars Patrick Hillebrand, Maren Pielka, David Leonhard, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Milad Morad, Christian Temath, Thiago Bell, Robin Stenzel, Rafet Sifa:
sustain.AI: a Recommender System to analyze Sustainability Reports. CoRR abs/2305.08711 (2023) - [i6]Lars Hillebrand, Armin Berger, Tobias Deußer, Tim Dilmaghani Khameneh, Mohamed Khaled, Bernd Kliem, Rüdiger Loitz, Maren Pielka, David Leonhard, Christian Bauckhage, Rafet Sifa:
Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models. CoRR abs/2308.06111 (2023) - [i5]Tobias Deußer, Lars Hillebrand, Christian Bauckhage, Rafet Sifa:
Informed Named Entity Recognition Decoding for Generative Language Models. CoRR abs/2308.07791 (2023) - 2022
- [j2]David Biesner, Rajkumar Ramamurthy, Robin Stenzel, Max Lübbering, Lars Patrick Hillebrand, Anna Ladi, Maren Pielka, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Anonymization of German financial documents using neural network-based language models with contextual word representations. Int. J. Data Sci. Anal. 13(2): 151-161 (2022) - [c10]Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Towards automating Numerical Consistency Checks in Financial Reports. IEEE Big Data 2022: 5915-5924 - [c9]Clayton Leroy Chapman, Lars Patrick Hillebrand, Marc Robin Stenzel, Tobias Deußer, David Biesner, Christian Bauckhage, Rafet Sifa:
Towards Generating Financial Reports from Tabular Data Using Transformers. CD-MAKE 2022: 221-232 - [c8]Tobias Deußer, Syed Musharraf Ali, Lars Patrick Hillebrand, Desiana Nurchalifah, Basil Jacob, Christian Bauckhage, Rafet Sifa:
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents. ICMLA 2022: 1654-1659 - [c7]Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports. ICPR 2022: 606-612 - [i4]Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports. CoRR abs/2208.02140 (2022) - [i3]Tobias Deußer, Syed Musharraf Ali, Lars Patrick Hillebrand, Desiana Nurchalifah, Basil Jacob, Christian Bauckhage, Rafet Sifa:
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents. CoRR abs/2210.09163 (2022) - [i2]Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
Towards automating Numerical Consistency Checks in Financial Reports. CoRR abs/2211.06112 (2022) - 2021
- [j1]Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa:
Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM. Mach. Learn. Knowl. Extr. 3(1): 123-167 (2021) - [c6]Marius Bulla, Lars Patrick Hillebrand, Max Lübbering, Rafet Sifa:
Knowledge Graph Based Question Answering System for Financial Securities. KI 2021: 44-50 - 2020
- [c5]Lars Patrick Hillebrand, David Biesner, Christian Bauckhage, Rafet Sifa:
Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM. CD-MAKE 2020: 401-422 - [c4]Maren Pielka, Rafet Sifa, Lars Patrick Hillebrand, David Biesner, Rajkumar Ramamurthy, Anna Ladi, Christian Bauckhage:
Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks. ICPR 2020: 6696-6701 - [c3]David Biesner, Eduardo Brito, Lars Patrick Hillebrand, Rafet Sifa:
Hybrid Ensemble Predictor as Quality Metric for German Text Summarization: Fraunhofer IAIS at GermEval 2020 Task 3. SwissText/KONVENS 2020
2010 – 2019
- 2019
- [c2]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:
Towards Automated Auditing with Machine Learning. DocEng 2019: 41:1-41:4 - [c1]Rafet Sifa, Maren Pielka, Rajkumar Ramamurthy, Anna Ladi, Lars Patrick Hillebrand, Christian Bauckhage:
Towards Contradiction Detection in German: a Translation-Driven Approach. SSCI 2019: 2497-2505 - [i1]Eduardo Brito, Max Lübbering, David Biesner, Lars Patrick Hillebrand, Christian Bauckhage:
Towards Supervised Extractive Text Summarization via RNN-based Sequence Classification. CoRR abs/1911.06121 (2019)
2000 – 2009
- 2009
- [b1]Lars Hillebrand:
Echtzeitfähige Rekonstruktion für die Flachdetektor-Computertomographie auf Grafikhardware. University of Erlangen-Nuremberg, 2009, pp. 1-69
Coauthor Index
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