Papers with fully fine-tuned Llama

1 papers
CorefInst: Leveraging LLMs for Multilingual Coreference Resolution (2026.tacl-1)

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Challenge: Existing methods for CR are encoder-only, decoder-based and asynchronous models.
Approach: They propose a multilingual CR methodology which leverages decoder-only LLMs to handle overt and zero mentions.
Outcome: The proposed model outperforms the leading multilingual CR model by 2 percentage points across all languages in the CorefUD v1.2 dataset.

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