Fine-tuned models under 1B parameters reach micro-F1 of 0.83 on general-domain RE versus 0.69 for GPT-5.4 zero-shot, with similar gains on literary benchmarks.
GLiDRE : Generalist lightweight model for document-level relation extraction
2 Pith papers cite this work. Polarity classification is still indexing.
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GLiNER-Relex unifies NER and RE in one zero-shot transformer-based model that achieves competitive results on CoNLL04, DocRED, FewRel, and CrossRE.
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Sub-Billion, Super-Frontier: Small Language Models Rival Zero-Shot Frontier LLMs on General and Literary Relation Extraction
Fine-tuned models under 1B parameters reach micro-F1 of 0.83 on general-domain RE versus 0.69 for GPT-5.4 zero-shot, with similar gains on literary benchmarks.
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GLiNER-Relex: A Unified Framework for Joint Named Entity Recognition and Relation Extraction
GLiNER-Relex unifies NER and RE in one zero-shot transformer-based model that achieves competitive results on CoNLL04, DocRED, FewRel, and CrossRE.