Fine-tuned mT5-large outperforms prompt-based LLMs on Czech anaphora resolution (88% vs 74.5% accuracy) on a new dataset derived from the Prague Dependency Treebank.
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Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution
Fine-tuned mT5-large outperforms prompt-based LLMs on Czech anaphora resolution (88% vs 74.5% accuracy) on a new dataset derived from the Prague Dependency Treebank.