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Leveraging Natural Language Processing for a Consistency Checking Toolchain of Automotive Requirements2023 IEEE International Requirements Engineering Conference (RE) conference-paper Computer Science Formal Methods in Verification
Vincent Bertram, Hendrik Kausch, Evgeny Kusmenko, Haron Nqiri, Bernhard Rumpe⋆, Constantin Venhoff
18citations -
QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis2026 arXiv (Cornell University) preprint Computer Science Sentiment Analysis and Opinion Mining Open access
A. J. W. de Vink, Filippos Ventirozos, Natalia Amat‐Lefort, Lifeng Han
0citations -
QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis2026 arXiv (Cornell University) preprint Computer Science Sentiment Analysis and Opinion Mining Open access
A. J. W. de Vink, Filippos Ventirozos, Natalia Amat‐Lefort, Lifeng Han
0citations -
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting2022 Expert Systems with Applications article Computer Science Privacy-Preserving Technologies in Data Open access
Thomas Borger, Pablo J. Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali Salah, Floortje E. Scheepers, +1 more
38citations -
Large Language Models are biased to overestimate profoundness2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) conference-paper Computer Science Topic Modeling Open access
Eugenio Herrera-Berg, Tomás Vergara Browne, Pablo León-Villagrá, Marc–Lluís Vives, Cristian Buc Calderon
1citations -
QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis2026 International Workshop on Semantic Evaluation (SemEval) conference-paper Computer Science Sentiment Analysis and Opinion Mining Open access
A. J. W. de Vink, Filippos Ventirozos, Natalia Amat‐Lefort, Lifeng Han
0citations -
Artifact and reference models for generative machine learning frameworks and build systems2021 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences (GPCE) conference-paper Computer Science Model-Driven Software Engineering Techniques cited by 3 patents
Abdallah Atouani, Jörg Christian Kirchhof, Evgeny Kusmenko, Bernhard Rumpe⋆
15citations -
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Topic Modeling Open access
Shen Gao, Zhengliang Shi, Minghang Zhu, Xin Xin, Pengjie Ren, Zhumin Chen, +1 more
16citations -
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access
Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
0citations -
HotelMatch-LLM: Joint Multi-Task Training of Small and Large Language Models for Efficient Multimodal Hotel Retrieval2025 Annual Meeting of the Association for Computational Linguistics (ACL) conference-paper Computer Science Multimodal Machine Learning Applications Open access
Arian Askari, Emmanouil Stergiadis, Ilya Gusev, Moran Beladev
0citations -
From Prose to Prototype: Synthesising Executable UML Models from Natural Language2021 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
8citations