An instruction-tuned LLM ensemble with hard voting achieves top ranks in multilingual entity framing, ranking 1st in Hindi, 2nd in Russian, 3rd in Portuguese in SemEval-2025 Task 10.
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Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing
An instruction-tuned LLM ensemble with hard voting achieves top ranks in multilingual entity framing, ranking 1st in Hindi, 2nd in Russian, 3rd in Portuguese in SemEval-2025 Task 10.