SMALLM: a local small model augmented a cloud-based large language model for chinese named entity recognition in low-resource industries
Abstract Although the cloud-based commercial Large Language Models (LLMs) have achieved state-of-the-art (SOTA) performances and cutting-edge zero-shot learning abilities on a variety of Natural Language Processing (NLP) tasks, their performance on Named Entity Recognition (NER) is still significant...
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| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer
2025-09-01
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| Seri Bilgileri: | Complex & Intelligent Systems |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/s40747-025-02074-6 |
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