The 2026 multilingual coreference shared task expanded to 27 datasets in 19 languages with a focus on long-range entities; traditional systems led but LLMs showed notable potential.
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Two-stage multilingual then dataset-specific adapter fine-tuning of Gemma-3-27b with headword XML mention representation and iterative annotation achieved first place in the CRAC 2026 LLM track.
citing papers explorer
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Findings of the Fifth Shared Task on Multilingual Coreference Resolution: Expanding Datasets for Long-Range Entities
The 2026 multilingual coreference shared task expanded to 27 datasets in 19 languages with a focus on long-range entities; traditional systems led but LLMs showed notable potential.
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Closing the Gap at CRAC 2026: Two-Stage Adaptation for LLM-Based Multilingual Coreference Resolution
Two-stage multilingual then dataset-specific adapter fine-tuning of Gemma-3-27b with headword XML mention representation and iterative annotation achieved first place in the CRAC 2026 LLM track.