智能科学与技术学报2026，Vol.8Issue(1)：83-93,11.DOI:10.11959/j.issn.2096-6652.202603
LinYun:林业领域智能问答与决策支持的大型语言模型研究
LinYun:a domain-specific large language model for intelligent question answering and decision support in forestry
摘要
Abstract
Forestry knowledge is highly specialized and broad in scopeand is particularly sensitive to regulations and prac-tical standards.To address the knowledge gaps,terminological ambiguities,and factual inaccuracies that general-purpose large language model(LLM)exhibit in forestry scenarios,an integrated framework of"data synthesis-model training-systematic evaluation"was proposed.Based on a general base model,domain-specific instruction fine-tuning was con-ducted to obtain LinYun,a domain-adapted model for forestry.Experimental results demonstrate that LinYun significantly outperforms general-purpose models of comparable scale in forestry-related tasks,and in some tasks approaches or even surpasses the performance of much larger models.关键词
林业大模型/指令微调/数据合成/LoRA/人工智能Key words
forestry large language model/instruction fine-tuning/data synthesis/LoRA/artificial intelligence分类
信息技术与安全科学引用本文复制引用
赵维康,王浩宇,华净,刘耀兵,王秀娟,康孟珍..LinYun:林业领域智能问答与决策支持的大型语言模型研究[J].智能科学与技术学报,2026,8(1):83-93,11.基金项目
国家自然科学基金项目(No.62076239)The National Natural Science Foundation of China(No.62076239) （No.62076239）
