Last Minute at SemEval-2025 Task 5: RAG System for Subject Tagging

Zahra Sarlak, Ebrahim Ansari


Abstract
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.
Anthology ID:
2025.semeval-1.316
Volume:
Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
Month:
July
Year:
2025
Address:
Vienna, Austria
Editors:
Sara Rosenthal, Aiala Rosá, Debanjan Ghosh, Marcos Zampieri
Venues:
SemEval | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2432–2436
Language:
URL:
https://preview.aclanthology.org/corrections-2025-08/2025.semeval-1.316/
DOI:
Bibkey:
Cite (ACL):
Zahra Sarlak and Ebrahim Ansari. 2025. Last Minute at SemEval-2025 Task 5: RAG System for Subject Tagging. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 2432–2436, Vienna, Austria. Association for Computational Linguistics.
Cite (Informal):
Last Minute at SemEval-2025 Task 5: RAG System for Subject Tagging (Sarlak & Ansari, SemEval 2025)
Copy Citation:
PDF:
https://preview.aclanthology.org/corrections-2025-08/2025.semeval-1.316.pdf