A shared task evaluation shows that contrastive fine-tuning of multilingual embedding models is the most common and among the most effective approaches for fact-checked claim retrieval.
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SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
A shared task evaluation shows that contrastive fine-tuning of multilingual embedding models is the most common and among the most effective approaches for fact-checked claim retrieval.