偏见消融： 大语言模型的识别效能与认知适配干预研究

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Prejudice Mitigation： A Study on the Recognition Efficacy and Cognitive Adaptation Interventions ofLargeLanguageModels

BAIQi-yu，KUANGQing-hua，XIAXue，YANShu-yan，ZHANGShi-jing-yi

Abstract：This study explores whether large language models （LLMs） can accurately detect prejudice in human language and persuade people tochange their prejudiced atitudes.Using the heuristicand systematic models，three experiments were conducted.Theresults indicate thatLLMs exhibit strong capabilities in recognizingand analyzing prejudiceinhumandescriptive texts，withahighlevelofagreement with human evaluations.Specificalypersonalized interventionsbyLLMs，whicharebasedonfactualandcorrectiveinformation，caneffectivelyreduceage-relatedprejudice againstolderadults.Furthermore，intervention strategiesadjustedaccording to individuals’different cognitive stylesfurtherenhancethereductionofageprejudice.ThisresearchnotonlydemonstratestheabilityofLLMstodetect prejudicebutalsovalidates theapplicationof traditionalheuristicandsystematicmodelsinthecontextofLLMs.Itprovides anew perspective for the development of persuasion theory and supports the feasibilityof trainingLLMs as tools for promoting fairness and sustainable development.

Keywords：large languagemodel（LLMs）;persuasion;prejudice;cognitive style

一、引言

大语言模型（LargeLanguageModel，简称LLM）的快速发展正在深刻改变人类社会的各个层面。（剩余17469字）