An LLM ensemble with few-shot prompting and embedding-based vocabulary mapping achieves fourth place quantitatively and first place qualitatively in automated subject indexing at SemEval-2025 Task 5.
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DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject Indexing
An LLM ensemble with few-shot prompting and embedding-based vocabulary mapping achieves fourth place quantitatively and first place qualitatively in automated subject indexing at SemEval-2025 Task 5.