23 citations
- Paderborn UniversityDE19 papers
- Association for Computational LinguisticsUS1 paper
- Friedrich Schiller University JenaDE1 paper
- Google (United States)US1 paper
- Heinrich Heine University DüsseldorfDE1 paper
- Institute of Informatics of the Slovak Academy of SciencesSK1 paper
- Maastricht UniversityNL1 paper
- Max Planck Institute for InformaticsDE1 paper
- Quantitative BioSciencesUS1 paper
- Technische Universität BerlinDE1 paper
- Technische Universität BraunschweigDE1 paper
Showing cs.CLShow all
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cs.CL2026
Benchmarking Knowledge Editing using Logical Rules
Tatiana Moteu Ngoli, NDah Jean Kouagou, Hamada M. Zahera +1
Large Language Models (LLMs) are increasingly deployed in real-world applications that require access to up-to-date knowledge. However, retraining LLMs is computationally expensive…
cs.CL2025★ 1 cited
Enhancing Domain-Specific Encoder Models with LLM-Generated Data: How to Leverage Ontologies, and How to Do Without Them
Marc Brinner, Tarek Al Mustafa, Sina Zarrieß
We investigate the use of LLM-generated data for continual pretraining of encoder models in specialized domains with limited training data, using the scientific domain of invasion…
cs.CL2020★ 2 cited
Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction
Stefan Heid, Marcel Wever, Eyke Hüllermeier
Syntactic annotation of corpora in the form of part-of-speech (POS) tags is a key requirement for both linguistic research and subsequent automated natural language processing (NLP…