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ASurveyonHuman-CentricLLMs
JINGYIWANG*,TsinghuaUniversity,China
NICHOLASSUKIENNIK*,TsinghuaUniversity,China
4TONGLI,TsinghuaUniversity,China
2
0WEIKANGSU,TsinghuaUniversity,China
2QIANYUEHAO,TsinghuaUniversity,China
vJINGBOXU,TsinghuaUniversity,China
oZIHANHUANG,TsinghuaUniversity,China
NFENGLIXU,TsinghuaUniversity,China
6YONGLI,TsinghuaUniversity,China
2
Therapidevolutionoflargelanguagemodels(LLMs)andtheircapacitytosimulatehumancognitionand
]behaviorhasgivenrisetoLLM-basedframeworksandtoolsthatareevaluatedandappliedbasedontheir
Labilitytoperformtaskstraditionallyperformedbyhumans,namelythoseinvolvingcognition,decision-
Cmaking,andsocialinteraction.Thissurveyprovidesacomprehensiveexaminationofsuchhuman-centric
.LLMcapabilities,focusingontheirperformanceinbothindividualtasks(whereanLLMactsasastand-in
s
cforasinglehuman)andcollectivetasks(wheremultipleLLMscoordinatetomimicgroupdynamics).We
[firstevaluateLLMcompetenciesacrosskeyareasincludingreasoning,perception,andsocialcognition,
comparingtheirabilitiestohuman-likeskills.Then,weexplorereal-worldapplicationsofLLMsinhuman-
2centricdomainssuchasbehavioralscience,politicalscience,andsociology,assessingtheireffectivenessin
vreplicatinghumanbehaviorsandinteractions.Finally,weidentifychallengesandfutureresearchdirections,
1suchasimprovingLLMadaptability,emotionalintelligence,andculturalsensitivity,whileaddressinginherent
9
4biasesandenhancingframeworksforhuman-AIcollaboration.Thissurveyaimstoprovideafoundational
4understandingofLLMsfromahuman-centricperspective,offeringinsightsintotheircurrentcapabilit
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