软件导刊2024，Vol.23Issue(7)：40-44,5.DOI:10.11907/rjdk.231896
基于大小语言模型协同的社区矛盾调解框架
Framework For Community Conflict Resoultion Based on Collaborative Small and Large Language Models
摘要
Abstract
The large language models(LLM)are increasingly being applied in people's lives due to their remarkable ability in contextual learning and causal reasoning.Corresponding to the capabilities of LLM,mediators in community conflict resolution require a certain level of discernment and a neutral perspective to mediate conflicts after understanding them thoroughly.Therefore,LLM can to some extent alleviate the issues of insufficient human resources,high mediation difficulty,and lack of credibility in existing community conflict resolution systems.However,the cost of invoking LLM limits their usage in communities.This paper proposes a framework based on the collaboration between large and small language models.The framework utilizes freely available small language models to generate conflict summaries and is divided into two approaches:human-machine diversion and human-machine collaboration,based on the mediator's level of involvement.Experiments demonstrate that this framework can reduce the cost while approaching the mediation quality provided by human mediators.关键词
大语言模型/小语言模型/人机分流/人机协同/矛盾调解Key words
large language model/small language model/human-machine separation/human-machine collaboration/conflict resolution分类
信息技术与安全科学引用本文复制引用
陈董,王曼,戴光裕,张硕,汤斯亮,庄越挺..基于大小语言模型协同的社区矛盾调解框架[J].软件导刊,2024,23(7):40-44,5.基金项目
国家自然科学基金项目(62272411) （62272411）
浙江省杰出青年基金项目(LR21F020004) （LR21F020004）
