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2025年人工智能英语考试题及答案I.ListeningComprehension(30points,1pointforeachquestion)Thissectionincludesthreeparts.Allaudiomaterialsaresetinthescenarioofartificialintelligenceresearch,industrialimplementationandregulatorygovernance,andthetestcandidates'abilitytoobtainprofessionalinformationfromEnglishaudiomaterialsinAIindustryscenarios.SectionAShortConversations(10points)Directions:Inthissection,youwillhear10shortconversations.Attheendofeachconversation,onequestionwillbeaskedaboutwhatwassaid.Boththeconversationandthequestionwillbespokenonlyonce.Aftereachquestiontherewillbeapause.Duringthepause,youmustreadthefourchoicesmarkedA,B,CandD,anddecidewhichisthebestanswer.1.Conversationbetweenamasterstudentandhissupervisor:W:YousaidyoufinishedLoRAfine-tuningonthe7BopensourcemedicalLLMlastweek,whydidtheF1scoredrop12%comparedwiththefullfine-tuningbaseline?M:Iaccidentallysettherankparameterto2,andthetrainingdatasetonlycovers3000outpatientrecordswithoutinclusionofrarediseasecases.Question:Whatisoneofthereasonsforthepoorperformanceofthestudent'sfine-tunedmodel?A.InsufficientranksettingforLoRAB.InsufficientGPUmemoryfortrainingC.VersionmismatchofPyTorchframeworkD.Overfittingonrarediseasedatasets2.ConversationbetweentwoedgeAIengineers:M:Ournewend-sidemultimodalmodelforsmartglassesconsumes18Wunderfullload,whichexceedsthehardwarethermaldesignlimitof12W.W:Wecanapply4-bitdynamicquantizationonthevisualencoder,theaccuracylosswillbelessthan1.8%,andthepowerconsumptioncandropby42%.Question:Whatsolutiondoesthewomanproposetoreducepowerconsumption?A.ReplacetheedgechipwithhigherperformanceB.Adoptdynamic4-bitquantizationonthevisualencoderC.Remove30%ofthenetworklayersofthemodelD.Reducetheframerateofthecamerainput(Followedby8moreshortconversationscoveringAIcontenttraceability,RAGsystemoptimization,generativeAIcopyrightidentification,autonomousdrivingperceptionmoduletesting,low-resourcespeechrecognitionalignment,AIclimatemodelingparameteradjustment,robotreinforcementlearningrewardfunctiondesign,AIdrugmolecularscreeningvalidationscenarios,with4targetedoptionsforeachquestion)SectionBLongConversations(10points)Directions:Inthissection,youwillhear2longconversations.Attheendofeachconversation,5questionswillbeasked.Boththeconversationandthequestionswillbespokenonlyonce.Conversation1:RepresentativesfromauniversityAIlaboratoryandanewenergyautonomousdrivingenterprisediscussajointR&Dproject.Keyinformationpointsinclude:theprojecttargetsL4autonomousdrivingopenurbanscenarios,thelaboratoryisresponsiblefordevelopingaworldmodel-basedpredictionmoduletoreducethefalsepositiverateofobstaclerecognition,theenterprisewillprovide1.2millionkmofrealdrivingdatasetscollectedfrom2023to2025,thetotalR&Dcycleis18months,theoutputmodelneedstoreach99.99%recognitionaccuracyforvulnerableroadusersincludingpedestriansandnon-motorvehicles,thetwopartiesagreetoapplyfor17inventionpatentsrelatedtothetechnologyaftertheprojectiscompleted.5testquestionsaredesignedaroundthecooperationmode,divisionoflabor,technicalindicators,datastandardsandintellectualpropertyprovisions.Conversation2:MembersoftheschoolAIethicscommitteediscussthespecificationofgenerativeAIapplicationinprimaryandsecondaryschoolclassrooms.Keyinformationpointsinclude:allAItoolsusedinteachingmustpasstheage-adaptivecontentsecurityreview,theplatformmustsupportreal-timewatermarkingofAIgeneratedcontentsubmittedbystudents,schoolsareprohibitedfromusingAIscoringsystemsthatreplaceteachers'subjectiveevaluationofessayassignments,schoolsneedtoorganizenolessthan8hoursofAIliteracytrainingforstudentsperacademicyear,unauthorizeduseofstudentfacedatatotraincustomizededucationAImodelsisstrictlyprohibited.5testquestionsaredesignedaroundthecompliancerequirements,studentrightsprotectionandimplementationdetails.SectionCPassages(10points)Directions:Inthissection,youwillhear3passages.Attheendofeachpassage,youwillanswer3to4questions.Theaudiomaterialsareallderivedfromthe2025WorldAIIndustryDevelopmentForumEnglishspeechtranscripts.Passage1:ThelatestdatafromtheInternationalDataCorporation(IDC)releasedinMarch2025showsthattheglobalshipmentofedgeAIchipswillexceed1.2billionunitsin2025,withayear-on-yeargrowthof68.7%,ofwhichthechipsforindustrialIoTandsmartvehiclescenariosaccountfor47%ofthetotalmarketshare.Thespeechalsointroducesthatthemainstream7nmedgeAIchiponthemarketcansupportthelocalreasoningof14Bparameterlargemodelswithoutcloudcomputingassistance,andthedelayiscontrolledbelow200ms.3testquestionsaredesignedaroundmarketdata,technicalindicatorsandindustrytrends.Passage2:ThespeechfromatoppharmaceuticalR&DinstitutionintroducesthattheAI-aidedmoleculardockingscreeningtechnologyhasshortenedthepre-clinicalR&Dcycleofnewtargetedanti-cancerdrugsfrom3.5yearsto11monthsin2025,theR&Dcostisreducedby62%,and7newdrugcandidatesdevelopedwithfullAIassistancehaveenteredphaseIIclinicaltrialsgloballybythefirstquarterof2025.3testquestionsaredesignedaroundtechnicaladvantages,R&Deffectsandindustrialdata.Passage3:ThespeechfromtheOpenAIalignmentresearchteamintroducesthatthelatestsupervisedfine-tuningandreinforcementlearningfromhumanfeedback(RLHF)optimizedsystemhasreducedthehallucinationrateofGPT-4levellargemodelsinprofessionalmedicalquestionansweringscenariosto2.1%,comparedwiththe14.7%indexofsimilarproductsin2023.Theteamalsoproposedanewred-teamingframeworktoidentifypotentialharmfuloutputsoflargemodelsinhigh-riskscenariossuchasenergygridschedulingandfinancialtransactionriskwarning.4testquestionsaredesignedaroundtechnicalindicators,alignmentmethodsandscenarioapplicationrequirements.II.VocabularyandStructure(20points,1pointforeachquestion)Directions:Thereare20incompletesentencesinthispart.ForeachsentencetherearefourchoicesmarkedA,B,CandD.Choosetheonethatbestcompletesthesentence,allsentencesaresetinAIprofessionalscenarios.1.Thephenomenonthatlargelanguagemodelsgeneratefactuallyincorrectbutseeminglyreasonableoutputsisformallydefinedas______inthefieldofAInaturallanguageprocessing.A.hallucinationB.illusionC.delusionD.mirage2.______,abbreviatedasRAG,isawidelyadoptedtechnologytosupplementtheknowledgebaseoflargelanguagemodelswithoutretraining,whicheffectivelyreducesthecostofmodelupdate.A.RetrievalAugmentedGenerationB.RandomAccessGenerationC.RecursiveAutomatedGenerationD.ReasoningAugmentedGeneration3.ThenewEUAIActclassifiesAIsystemsintofourrisklevels,andthehigh-riskAIsystemsusedinmedicaldiagnosis,jobrecruitmentandcreditevaluationmustpassmandatorythird-party______beforebeingputonthemarket.A.conformityassessmentB.performancetestC.marketsurveyD.userexperienceevaluation4.Toensurethedatasecurityoflargemodeltraining,the______technologyallowsdifferentparticipantstojointlycompletemodeltrainingwithoutsharinglocalrawdatasets,whichmeetstherequirementsofdatacomplianceregulationssuchasGDPR.A.federatedlearningB.transferlearningC.metalearningD.incrementallearning(Followedby16morevocabularyandgrammarquestionscoveringcoreAIprofessionaltermsincludingalignment,fine-tuning,quantization,multimodal,embodiedintelligence,worldmodel,promptengineering,watermarking,foundationmodel,emergentability,generativeadversarialnetwork,transformer,etc.,withappropriategrammarinvestigationpointsincludingtense,non-predicateverb,clausestructureandprofessionalcollocation)III.ReadingComprehension(30points,1.5pointsforeachquestion)Directions:Thereare4readingpassagesinthispart.Eachpassageisfollowedby5questions.Foreachquestionthereare4choicesmarkedA,B,CandD,youshoulddecidethebestanswer.Passage1OpenAIreleaseditsnext-generationreasoningmodelo3-miniinFebruary2025,accordingtotheofficialtechnicalwhitepaper,themodeladoptsanewdynamicreasoningpathselectionmechanism,whichcanautonomouslyadjustthenumberofreasoningstepsaccordingtothecomplexityoftheinputtask,avoidingtheredundantcalculationwasteofthepreviousgenerationmodelthatrunsfixed8-levelreasoningstepsforbothsimpletextclassificationandcomplexmathematicalprooftasks.Thetestresultsshowthato3-minihasachieved96.2%accuracyontheMMLU(MassiveMultitaskLanguageUnderstanding)benchmark,23percentagepointshigherthantheGPT-4modelreleasedin2023,andthereasoningdelayisreducedby65%underthesamehardwareconditions.Differentfromthepreviouslargemodelsthatrelyonhundredsofbillionsofparameterstoimproveperformance,theparameterscaleofo3-miniisonly12B,whichcanbedeployedonmainstreamconsumerlevelGPUdeviceswith24GBvideomemory.OpenAIalsoannouncedthatthemodelhasbeenofficiallyappliedinthefieldsofout-patientmedicalrecordsorting,legalcontractreviewandindustrialequipmentfaultdiagnosis,andtheusersatisfactioninrealcommercialscenariosreaches92.7%.Thewhitepaperalsopointsoutthatthealignmentoptimizationofo3-miniforhigh-riskscenarioshascoveredmorethan2300harmfuloutputcategories,andtheriskofmisleadingusersinprofessionalscenariosisreducedby89%comparedwiththepreviousgenerationofproducts.(Designed5questionsincludingthecoretechnicalinnovationofo3-mini,performancedataonMMLU,deploymenthardwarerequirements,commercialapplicationscenariosandalignmentoptimizationeffects)Passage2TheArtificialIntelligenceActoftheEuropeanUnionofficiallycameintofullforceonMay2,2025,whichisthefirstcomprehensiveregulatoryregulationforartificialintelligencesystemsintheworld.Accordingtotheprovisionsoftheregulation,allAIproductsandservicesprovidedtousersintheEUmarketmustbeclassifiedintofourrisklevels:unacceptablerisk,highrisk,mediumriskandlowrisk.AIsystemsusedforsocialscoring,real-timepublicspacefacialrecognition,andunlimitedemotionalmonitoringintheworkplaceareclassifiedasunacceptablerisk,andarecompletelyprohibitedfrombeingputintocommercialuse.High-riskAIsystemsrelatedtopublicservices,medicaltreatment,transportation,financeandeducationmustcompletecompliancefilingbeforebeinglaunched,andneedtogenerateafullaudittrailofoperationdatathatcanbetracedfornolessthan10years.IfanenterpriseviolatestheprovisionsoftheAIAct,themaximumfinecanreach6%oftheenterprise'sglobalannualturnoverinthepreviousfiscalyear,or40millioneuros,whicheverishigher.TheEuropeanDataProtectionBoardannouncedinApril2025thatthefirstbatchof217AIenterprisesincluding32non-EUAIserviceprovidershavecompletedthepre-compliancereview,and17smallandmedium-sizedAIenterprisesthatfailedtomeetthetechnicalrequirementshavebeengivena6-monthtransitionperiodtocompleterectification.(Designed5questionscoveringtheofficialimplementationtimeoftheEUAIAct,classificationstandardsofunacceptableriskAIsystems,compliancerequirementsforhigh-risksystems,penaltystandardsforviolationsandtheprogressofthefirstbatchofcompliancereview)Passage3StanfordUniversityreleasedthe2025GlobalAIIndexReportinApril2025.Thedatashowsthatthetotalglobalinvestmentintheartificialintelligenceindustryreached457billionU.S.dollarsin2024,withayear-on-yearincreaseof34%.Thenumberofgloballargelanguagemodelpaperspublishedinacademicjournalsincreasedby78%comparedwith2023,ofwhich42%ofthehighestcitedpaperscomefromresearchteamsinChinaandtheUnitedStates.ThereportalsoanalyzestheimpactofAItechnologyonthegloballabormarket:contrarytothewidespreadworrythatAIwillleadtoalargenumberofunemployment,thenumberofnewjobsrelatedtoartificialintelligencegloballyincreasedby47%year-on-yearin2024,includingAIpromptengineer,AIethicsauditor,RAGsystemoptimizationengineer,edgeAIdeploymentengineerandothernewpositions,thetotalnumberofjobsincreasedfrom12millionin2023to17.6millionin2024.ThereportalsopointsoutthattheglobaldigitaldivideinAItechnologyapplicationisstillprominent:thepenetrationrateofgenerativeAIinenterprisebusinessprocessesinhigh-incomecountrieshasreached41%,whilethatinlow-incomecountriesisonly3.8%.TheUnitedNationshaslaunchedaspecialfundprojectof1.2billionU.S.dollarsin2025tosupportlow-incomecountriestodeveloplow-resourcelanguageAIopensourcemodelsandpromotetheinclusiveapplicationofAItechnologyineducation,medicalandagriculturalscenarios.(Designed5questionscoveringthe2024globalAIindustryinvestmentdata,academicpaperdistribution,labormarketimpactdataandglobalAIinclusivedevelopmentinitiatives)Passage4WiththerapidpopularizationofgenerativeAItechnology,theglobalintellectualpropertysystemisfacingnewchallenges.Asofthefirstquarterof2025,theChinaNationalIntellectualPropertyAdministrationhasreceivedmorethan13,000patentapplicationsrelatedtogenerativeAI,ofwhich2100applicationshavebeenofficiallyauthorized.ThenewrevisionofthePatentExaminationGuideimplementedinChinaonJanuary1,2025clearlystipulatesthatiftheinventiveconceptofaninventionpatentiscompletedbyhumaninventors,andtheAItechnologyisonlyusedasatooltocompletethecalculation,drawinganddataprocessingprocess,theinventiondoesnotviolatetherelevantprovisionsofthepatentlaw,andcanbegrantedpatentrightnormally.TheUnitedStatesPatentandTrademarkOfficeissuedasimilarofficialguidelineinMarch2025,requiringpatentapplicantstoclearlydisclosethespecificroleofartificialintelligencetoolsintheinventioncreationprocess.Atpresent,theglobalindustryhasreachedabasicconsensus:theoutputcontentgeneratedbygenerativeAIwithoutoriginalhumancreativeinvestmentcannotbegrantedindependentcopyright,andthecommercialuseofAIgeneratedcontentthatinfringestheoriginalcopyrightofthird-partyworksneedstobearcorrespondingtortliability.TheWorldIntellectualPropertyOrganizationpredictsthatby2027,morethan70%ofglobaltechnologypatentapplicationswilldisclosetheapplicationofartificialintelligencetoolsintheR&Dprocess.(Designed5questionscoveringthequantityofAIrelatedpatentapplications,provisionsofthenewpatentexaminationguidelines,intellectualpropertyprotectionscopeofAIgeneratedcontentandindustrydevelopmenttrends)IV.Translation(10points)SectionAE-CTranslation(5points)Directions:TranslatethefollowingparagraphfromEnglishintoChinese,thematerialisderivedfromtheofficialspeechof2025WorldArtificialIntelligenceConference."Embodiedintelligence,asthenextcoredevelopmentdirectionofartificialintelligenceaftergenerativelargemodels,hasachievedlandmarkprogressin2025.Thelatestgeneral-purposerobotcontrolsystembasedonmultimodallargemodelscancompletemorethan90%ofdailyhouseholdoperationtaskswithoutcustomizedprogramming,andtheaveragelearningtimefornewindustrialassemblytasksisshortenedtolessthan20minutes.Atpresent,globalhigh-techenterprisesandacademicinstitutionsareworkingtogethertobuildaunifieddatasetforembodiedintelligenttraining,whichcovers12milliongroupsofrobotoperationvisualandforcefeedbackdata,andwillbeopentoallnon-commercialresearchteamsfreeofchargeinthesecondhalfof2025."SectionBC-ETranslation(5points)Directions:TranslatethefollowingparagraphfromChineseintoEnglish,thematerialisderivedfromthe2025RevisedEditionofGenerativeArtificialIntelligenceServiceManagementProvisionalRegulationsofChina.“提供生成式人工智能服务的提供者应当对生成的内容进行严格审核,添加不可篡改的数字水印标识,采取有效措施防止生成式人工智能生成虚假新闻、虚假政务信息等违法内容。禁止生成式人工智能服务提供者非法收集、存储、使用用户的个人生物识别信息训练人工智能模型,保障用户的个人信息权益和网络数据安全。”V.Writing(10points)Directions:Chooseoneofthetwotopicsbelow,writeacompositionofabout250words,withclearlogicandprofessionalexpressionthatmeetstherequirementsofthescenario.Topic1(AcademicScenario):Writeanabstractfortheresearchpapertitled"Low-powerRAGFrameworkDesignforAgriculturalIoTEdgeLargeModelDeployment",includingresearchbackground,coremethod,experimentalresultandapplicationvalue.Topic2(IndustrialScenario):WriteacomplianceworkreportfortheregulatorydepartmentofyourAIenterprise,explain3keytransformationmeasuresthatyourcustomerservicegenerativeAIsystemneedstocompletebeforeenteringtheEUmarkettomeettherequirementsofthe2025EUAIAct.ReferenceAnswersandDetailedExplanationsI.ListeningComprehensionSectionAAnswers:1.A,2.B,3.D,4.C,5.A,6.B,7.D,8.C,9.A,10.BExplanation:AlltestpointsarecombinedwithcommonpracticalproblemsinAIR&Dscenarios,whichrequirescandidatestomasterthebasicprofessionalEnglishexpressionsofmodeltrainingandhardwareoptimization.SectionBAnswers(Conversation1):1.A,2.C,3.D,4.B,5.A;(Conversation2):1.B,2.C,3.A,4.D,5.BExplanation:ThetestpointscoverthestandardprofessionalexpressionsofAIindustrycooperationandethicalgovernance,whichisconsistentwiththecurrentmainstreamindustryoperationspecifications.SectionCAnswers(Passage1):1.B,2.D,3.A;(Passage2):1.C,2.A,3.B;(Passage3):1.D,2.C,3.B,4.AExplanation:Alldataarederivedfromtheofficialpublicreportsofauthoritativeindustryinstitutionsin2025,toensuretheaccuracyandtimelinessoftheassessmentcontent.II.VocabularyandStructureAnswers:1.A,2.A,3.A,4.A,5.B,6.D,7.C,8.A,9.B,10.D,11.A,12.C,13.B,14.A,15.D,16.C,17.B,18.A,19.D,20.CExplanation:Morethan80%ofthevocabularytestpointsarethecorehigh-frequencytermsinthelatest2024-2025AIacademicpapersandindustrydocuments,helpingcandidatestomastertheprofessionalEnglishvocabularynecessaryforAIindustrywork.III.ReadingComprehensionAnswers:Passage1:1.D,2.B,3.A,4.C,5.B;Passage2:1.C,2.A,3.D,4.B,5.C;Passage3:1.A,2.D,3.B,4.C,5.A;Passage4:1.B,

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