Agricultural named entity recognition technology based on thought chain distillation and counterfactual reasoning
ObjectiveTo address the issues of hallucinations, contextual logical inconsistencies, and inability to run on low-resource devices when large language models perform named entity recognition (NER) in agriculture.MethodUsing DeepSeek with 671 billion parameters (DeepSeek-671B) as the teacher model, d...
Gorde:
| Egile Nagusiak: | , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Chinês |
| Argitaratua: |
South China Agricultural University
2026-01-01
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| Saila: | Huanan Nongye Daxue xuebao |
| Gaiak: | |
| Sarrera elektronikoa: | https://journal.scau.edu.cn/article/doi/10.7671/j.issn.1001-411X.202507003 |
| Etiketak: |
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