The Fifth Shared Task on Multilingual Coreference Resolution, held at the CODI-CRAC 2026 workshop, focused on systems that can identify mentions and cluster coreferential chains, particularly those spanning long distances across text. This year's task incorporated five new datasets and two additional languages, utilizing the CorefUD v1.4 collection which spans 19 languages. While traditional systems still outperformed, the ten participating systems, including four LLM-based approaches, showed significant promise for future advancements in the field. AI
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IMPACT LLMs show promise in long-range coreference resolution, potentially improving natural language understanding in complex texts.
RANK_REASON The cluster describes the findings of a shared task and a research paper detailing dataset expansion and system performance. [lever_c_demoted from research: ic=1 ai=1.0]