Zahra Sarlak

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2025

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Last Minute at the GermEval-2025 LLMs4Subjects Task: Few-Shot Contrastive Learning for Multilingual Multi-Label Classification
Parisa Shirali | Zahra Sarlak | Ebrahim Ansari
Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops

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Last Minute at SemEval-2025 Task 5: RAG System for Subject Tagging
Zahra Sarlak | Ebrahim Ansari
Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)

Last Minute at SemEval-2025 Task 5: RAG System for Subject TaggingZahra Sarlak, Ebrahim AnsariIn this study, we explore the LLMs4Subjects shared task, which focuses on leveraging retrieval-augmented generation (RAG) to enhance subject classification in technical records from the Leibniz University’s Technical Library (TIBKAT). The challenge requires participants to recommend appropriate subject headings from the GND taxonomy while processing bibliographic data in both German and English.
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