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Papers matching “transformer language models” 108

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Augmenting human innovation teams with artificial intelligence: Exploring transformer‐based language models
2023 Journal of Product Innovation Management article Computer Science Artificial Intelligence Applications Open access

Sebastian Gregor Bouschery, Vera Blažević, Frank Thomas Piller

440

citations
An automated information extraction model for unstructured discharge letters using large language models and GPT-4
2025 Healthcare Analytics article Computer Science Machine Learning in Healthcare Open access

Robert Malte Siepmann, Giulia Baldini, Cynthia Sabrina Schmidt, Daniel Truhn, Gustav Anton Müller‐Franzes, Amin Dada, +3 more

16

citations
Enhancing E-commerce Spelling Correction with Fine-Tuned Transformer Models
2024 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Natural Language Processing Techniques Open access

Arnab Dutta, Gleb Polushin

1

citations
A highly scalable deep learning language model for common risks prediction among psychiatric inpatients
2025 BMC Medicine article Computer Science Machine Learning in Healthcare Open access

Enzhao Zhu, Jiayi Wang, Chunbo Li, Fazhan Chen, Kang Ju, Liangliang Chen, +12 more

7

citations
Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect
2025 neural information processing systems conference-paper Computer Science Multimodal Machine Learning Applications Open access

Tom Kouwenhoven, Kiana Shahrasbi, Tessa Verhoef

0

citations
Artificial Intelligence as an Actor in Innovation Teams: An Assessment of the GPT-3 Language Model
2022 Academy of Management Proceedings conference-abstract Computer Science Artificial Intelligence Applications

Sebastian Gregor Bouschery, Vera Blažević, Deborah Lynn Roberts, Frank Thomas Piller

1

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
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
2024 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Zhaojia Liu, Jiawen Lyn, Wei Zhu, Xing Tian, Yvette Graham

1

citations
From Prose to Prototype: Synthesising Executable UML Models from Natural Language
2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) conference-paper Computer Science Model-Driven Software Engineering Techniques Open access

Guus J. Ramackers, Pepijn Griffioen, Martijn B. J. Schouten, Michel R. V. Chaudron

8

citations
Transformer-Based Direct Hidden Markov Model for Machine Translation
2021 conference-paper Computer Science Natural Language Processing Techniques Open access

Weiyue Wang, Zijian Győző Yang, Yingbo Gao, Hermann Ney

3

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
Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery
2025 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Evolutionary Algorithms and Applications Open access

Haoran Yin, Anna V. Kononova, Thomas Bäck, Bas van Stein

6

citations
NephroAIX: Large Language Model (LLM)-Guided Knowledge Graph for Explainable Target Discovery in Human Kidney Diseases Using Single-Cell Data
2025 Journal of the American Society of Nephrology article Computer Science Computational Drug Discovery Methods

0

citations
Multimodal Large Language Models are Generalist Medical Image Interpreters
2023 medRxiv preprint Computer Science Multimodal Machine Learning Applications Open access

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

17

citations
In-context learning enables multimodal large language models to classify cancer pathology images
2024 Nature Communications article Computer Science AI in cancer detection Open access

Dyke Ferber, Georg Wölflein, Isabella C. Wiest, Marta Ligero, Srividhya Sainath, Narmin Ghaffari Laleh, +5 more

156

citations
In-context learning enables multimodal large language models to classify cancer pathology images
2024 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Dyke Ferber, Georg Wölflein, Isabella C. Wiest, Marta Ligero, Srividhya Sainath, Narmin Ghaffari Laleh, +5 more

1

citations
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer
2021 International Conference on Spoken Language Translation (IWSLT) conference-paper Computer Science Natural Language Processing Techniques Open access

Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, +1 more

2

citations
Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents
2025 International World Wide Web Conference (WWW) conference-paper Computer Science Topic Modeling Open access

Zhengliang Shi, Shen Gao, Lingyong Yan, Yue Feng, Xiuyi Chen, Zhumin Chen, +3 more

19

citations
Refining NLP Semantic Matches Through Dialogue with Large Language Models
2025 IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) conference-paper Computer Science Topic Modeling Open access

Sebastian Heppner, Torben Miny, Tobias Kleinert, Ayan Zholdybayev, Marko Ristin, Hans Wernher van de Venn

3

citations
ProActLLM: Proactive Conversational Information Seeking with Large Language Models
2025 ACM International Conference on Information and Knowledge Management (CIKM) conference-paper Computer Science Speech and dialogue systems Open access

Shubham Chatterjee, Xi Wang, Shuo Zhang, Sajad Ebrahimi, Zhaochun Ren, Debasis Ganguly, +3 more

2

citations
Natural Language Processing Methods to Identify Oncology Patients at High Risk for Acute Care with Clinical Notes
2022 arXiv (Cornell University) preprint Computer Science Machine Learning in Healthcare Open access

Claudio Fanconi, Marieke Meija van Buchem, Tina Hernandez‐Boussard

7

citations
Natural Language Processing Methods to Identify Oncology Patients at High Risk for Acute Care with Clinical Notes.
2023 PubMed article Computer Science Machine Learning in Healthcare Open access

Claudio Fanconi, Marieke Meija van Buchem, Tina Hernandez‐Boussard

8

citations
Investigation of Transformer-based Latent Attention Models for Neural Machine Translation.
2020 Conference of the Association for Machine Translation in the Americas conference-paper Computer Science Natural Language Processing Techniques

Parnia Bahar, Nikita Makarov, Hermann Ney

2

citations
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
2022 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, +1 more

6

citations
Automatic Readability Assessment of German Sentences with Transformer Ensembles
2022 arXiv (Cornell University) preprint Computer Science Text Readability and Simplification Open access

Patrick Gustav Blaneck, Tobias Bornheim, Niklas Grieger, Stephan Bialonski

2

citations