Chat-rgie: precision extraction of rice germplasm data using large language models and prompt engineering
Abstract Varietal improvement is a key aspect of breeding, and as a result of this work, crop varietal data becomes more complicated, requiring more resources to extract. As a result, we developed Chat-RGIE, a rice germplasm data extraction strategy based on conversational large language models (LLM...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-08-01
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| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01236-0 |
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