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Papers matching “pre-trained language models” 46

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Active Learning with Pre-trained Language Models for Named Entity Recognition in Requirements Engineering
2024 Procedia CIRP article Computer Science Topic Modeling Open access cited by 1 patent

Michael Riesener, Maximilian Kühn, S. Schümmelfeder, Johannes J. Norheim, Eric Rebentisch, Günther Schuh

6

citations
Schema matching based on energy domain pre-trained language model
2023 Energy Informatics article Computer Science Topic Modeling Open access cited by 2 patents

Zhiyu Pan, Muchen Yang, Antonello Monti

11

citations
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings
2023 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Sandipan Sikdar, Marlene Lutz, Markus Strohmaier

0

citations
Neural Language Models and Few Shot Learning for Systematic Requirements Processing in MDSE
2022 ACM SIGPLAN International Conference on Software Language Engineering (SLE) conference-paper Computer Science Model-Driven Software Engineering Techniques

Vincent Bertram, Miriam Boß, Evgeny Kusmenko, Imke Helene Nachmann, Bernhard Rumpe⋆, Danilo Trotta, +1 more

12

citations
Technical Report on Neural Language Models and Few-Shot Learning for Systematic Requirements Processing in MDSE
2022 RWTH Publications (RWTH Aachen) preprint Computer Science Software Engineering Research Open access

Vincent Bertram, Miriam Boß, Evgeny Kusmenko, Imke Helene Nachmann, Bernhard Rumpe⋆, Danilo Trotta, +1 more

2

citations
Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token
2022 conference-paper Computer Science Topic Modeling Open access

Baohao Liao, David Thulke, Sanjika Hewavitharana, Hermann Ney, Christof Monz

4

citations
Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token
2022 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Baohao Liao, David Thulke, Sanjika Hewavitharana, Hermann Ney, Christof Monz

0

citations
Alzheimer’s Disease Detection from Spontaneous Speech Through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models
2021 conference-paper Psychology Mental Health via Writing Open access

Xuefeng Yin, Daniel Wiechmann, Elma Kerz

25

citations
Alzheimer's Disease Detection from Spontaneous Speech through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models
2021 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Yu Qiao, Xuefeng Yin, Daniel Wiechmann, Elma Kerz

8

citations
Enhancing E-commerce Spelling Correction with Fine-Tuned Transformer Models
2024 conference-paper Computer Science Topic Modeling Open access

Arnab Dutta, Gleb Polushin

1

citations
Einsatzmöglichkeiten von „large language models“ in der Onkologie
2024 Die Onkologie article Medicine Radiomics and Machine Learning in Medical Imaging

Chiara Maria Lavinia Loeffler, Keno K. Bressem, Daniel Truhn

0

citations
Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 ( GPT ‐4)
2023 The Journal of Pathology article Computer Science AI in cancer detection Open access

Daniel Truhn, Chiara ML Loeffler, Gustav Anton Müller‐Franzes, Sven Nebelung, Katherine Jane Hewitt, Sebastian Brandner, +3 more

122

citations
Multimodal Large Language Models are Generalist Medical Image Interpreters
2023 medRxiv preprint Computer Science AI in cancer detection Open access

Lisa C. Adams, Sven Nebelung, Jakob Nikolas Kather, Keno K. Bressem, Daniel Truhn

17

citations
(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification
2022 conference-paper Computer Science Text Readability and Simplification Open access

Yu Qiao, Xiaofei Li, Daniel Wiechmann, Elma Kerz

4

citations
(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification
2022 arXiv (Cornell University) preprint Computer Science Text Readability and Simplification Open access

Yu Qiao, Xiaofei Li, Daniel Wiechmann, Elma Kerz

1

citations
Explaining Relation Classification Models with Semantic Extents
2023 Communications in computer and information science conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access

Lars Klöser, André Büsgen, Philipp Kohl, Bodo Kraft, Albert Zündorf

1

citations
Simplifying radiology reports with large language models: privacy-compliant open- versus closed-weight models
2026 European Radiology article Medicine Artificial Intelligence in Healthcare and Education Open access

Annemarie Proff, Babak Salam, Mohammed Hayawi, Dmitrij Kravchenko, Narine Mesropyan, Taraneh Aziz-Safaie, +8 more

0

citations
Generalizable and Channel-resilient Large Language Model Fine-tuned for Wireless Power Allocation
2025 IEEE Global Communications Conference (GLOBECOM) conference-paper Engineering Advanced Wireless Network Optimization

Amna Kopic, Firooz B. Saghezchi, Erma Perenda, Haris GACANIN

0

citations
Knowledge-Driven Hallucination in Large Language Models: An Empirical Study on Process Modeling
2025 preprint Computer Science Machine Learning in Healthcare Open access

Alessandro Berti, Humam Kourani, Wil M. P. van der Aalst

0

citations
Localized Latent Updates for Fine-Tuning Vision-Language Models
2022 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

Moritz Ibing, Isaak Lim, Leif P. Kobbelt

0

citations
Localized Latent Updates for Fine-Tuning Vision-Language Models
2023 conference-paper Computer Science Multimodal Machine Learning Applications

Moritz Ibing, Isaak Lim, Leif P. Kobbelt

0

citations
Analog in-memory computing attention mechanism for fast and energy-efficient large language models
2025 Nature Computational Science article Engineering Advanced Memory and Neural Computing Open access cited by 1 patent

Nathan Leroux, Paul-Philipp Manea, Chirag Sudarshan, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, +1 more

24

citations
Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models
2024 JuSER (Forschungszentrum Jülich) article Computer Science Topic Modeling Open access

Nathan Leroux, Paul-Philipp Manea, Chirag Sudarshan, Jan Finkbeiner, Sebastian Siegel, John Paul Strachan, +1 more

0

citations
Large language models for structured reporting in radiology: past, present, and future
2024 European Radiology article Medicine Radiology practices and education Open access

Felix Busch, Lena Hoffmann, Daniel Pinto dos Santos, Marcus R. Makowski, Luca Saba, Philipp Prucker, +7 more

127

citations
Current applications and challenges in large language models for patient care: a systematic review
2025 Communications Medicine review Medicine Artificial Intelligence in Healthcare and Education Open access

Felix Busch, Lena Hoffmann, Christopher Rueger, Elon H. C. van Dijk, Rawen Kader, Esteban Ortiz‐Prado, +8 more

315

citations