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Large Language Models Generalize SRL Prediction to New Languages within but Not between Domains

• Authors : Conrad Borchers; Jiayi Zhang; Hendrik Fleischer

Subjects: Artificial Intelligence; Protocol Analysis; Learning StrategiesGermany; United States

• Source: Journal of Educational Data Mining. 2025 17(2):24-54.31

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'Just a Pocket Knife, Not a Machete': Large Language Models in TEFL Teacher Education and Digital Text Sovereignty

• Authors : Jules Buendgens-Kosten (ORCID 0000-0003-2852-8539)

Subjects: Foreign Countries; Teacher Education; Language TeachersGermany

• Source: Technology in Language Teaching & Learning. 2024 6(1).16

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Can open source large language models be used for tumor documentation in Germany?—An evaluation on urological doctors' notes.

• Authors : Lenz, Stefan¹ (AUTHOR) ; Ustjanzew, Arsenij¹ (AUTHOR); Jeray, Marco² (AUTHOR)

• Source: BioData Mining. 7/24/2025, Vol. 18 Issue 1, p1-25. 25p.

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Graph Repairs with Large Language Models: An Empirical Study

• Authors : Terdalkar, Hrishikesh; Bonifati, Angela; Mauri, Andrea ...

Subjects: Graph Repair; Property Graphs; Large Language ModelsBerlin; Germany

• Source: GRADES-NDA '25 ; ACM SIGMOD/PODS International Conference on Management of Data ; https://hal.science/hal-05323387 ; ACM SIGMOD/PODS International Conference on Management of Data, SIGMOD/PODS, Jun

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Triage Performance Across Large Language Models, ChatGPT, and Untrained Doctors in Emergency Medicine: Comparative Study.

• Authors : Masanneck L; Department of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.; Digital Health Center, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany.

Subjects: Triage*/Triage*/Triage*/methods ; Triage*/Triage*/Triage*/standards ; Emergency Medicine*/Emergency Medicine*/Emergency Medicine*/standards

• Source: Journal of medical Internet research [J Med Internet Res] 2024 Jun 14; Vol. 26, pp. e53297. Date of Electronic Publication: 2024 Jun 14.Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN:

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Assessing unknown potential-quality and limitations of different large language models in the field of otorhinolaryngology.

• Authors : Buhr CR; Department of Otorhinolaryngology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.; School of Medicine, University of St Andrews, St Andrews, UK.

Subjects: Otolaryngology*; Humans ; Germany

• Source: Acta oto-laryngologica [Acta Otolaryngol] 2024 Mar; Vol. 144 (3), pp. 237-242. Date of Electronic Publication: 2024 May 23.Publisher: Taylor & Francis Country of Publication: England NLM ID: 0370354 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Three bricks to consolidate watermarks for large language models

• Authors : Fernandez, Pierre; Chaffin, Antoine; Tit, Karim ...

Subjects: Large language model LLM; watermarking; Large Language ModelNuremberg; Germany

• Source: Proceedings of IEEE WIFS ; WIFS 2023 - IEEE International Workshop on Information Forensics and Security ; https://inria.hal.science/hal-04361015 ; WIFS 2023 - IEEE International Workshop on

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Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism

• Authors : Beaumont, Olivier; Bourgouin, Raphaël; Darrin, Maxime ...

Subjects: Inference Optimization; Memory Mapping; Mixture-of-ExpertsDresden; Germany

• Source: Lecture Notes in Computer Science ; Euro-Par 2025: Parallel Processing ; https://hal.science/hal-04994839 ; Euro-Par 2025: Parallel Processing, Aug 2025, Dresden,

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Cache Management for Mixture-of-Experts LLMs

• Authors : Angelopoulos, Spyros; Marchal, Loris; Obrecht, Adrien ...

Subjects: competitive analysis; online algorithms; Large Language ModelsDresden; Germany

• Source: Lecture Notes in Computer Science ; Euro-Par 2025: Parallel Processing ; https://inria.hal.science/hal-05226723 ; Euro-Par 2025: Parallel Processing, Aug 2025, Dresden,

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On the use of LLMs for Design Pattern Detection in software models

• Authors : Abdeljalil, Yassine; Radermacher, Ansgar; Didonet del Fabro, Marcos ...

Subjects: [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]; [INFO.INFO-IA]Computer Science [cs]/Computer Aided EngineeringCoblence; GermanyCoblence, Germany

• Source: LLM4SE 2025 - First Large Language Models for Software Engineering Workshop ;

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