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Fastino released GLiNER2.5, replacing span enumeration with boundary prediction for information extraction. The model scores entity start and end positions, removing maximum entity width, supporting 4,096-word context, and keeping computation linear in sequence length. It also enables joint entity-relation decoding and cross-task labels.
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