2025
SemEval
SemEval 2025
Last Minute at SemEval-2025 Task 5: RAG System for Subject Tagging
Abstract
AbstractLast 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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Interdisciplinary Bridge
- Artificial Intelligence and Natural Language Processing
Authors
Topics
Artificial Intelligence > Core AI > Foundation Models
Machine Learning > Core Methods > Classification
Machine Learning > Application Areas > Data Augmentation
Natural Language Processing > Applications > Text Classification
Natural Language Processing > Generation > Retrieval-Augmented Generation
Artificial Intelligence > Core AI > Information Retrieval
Artificial Intelligence > Core AI > Retrieval-Augmented Generation