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Lei Wang is a Ph.D. candidate
LanguageProcessing: SystemDemonstrations. 2023,
237–245 at Renmin University of China,
175. Banerjee D, Singh P, Avadhanam A, Srivastava S.
Beijing. His research focuses on
Benchmarking llm powered chatbots: methods and
recommender systems and agent-
metrics. arXivpreprintarXiv:2308.04624,2023
176. ZhaoWX,ZhouK,LiJ,TangT,WangX,HouY,Min basedlargelanguagemodels.
Y,ZhangB,ZhangJ,DongZ,others.Asurveyoflarge
language models. arXiv preprint arXiv:2303.18223,
2023 Chen Ma is currently pursuing a
177. YangJ,JinH,TangR,HanX,FengQ,JiangH,Zhong Master’s degree at Renmin Uni-
S, Yin B, Hu X. Harnessing the power of llms in
versity of China, Beijing, China.
practice:Asurveyonchatgptandbeyond. ACMTrans-
actionsonKnowledgeDiscoveryfromData,2023 Hisresearchinterestsincluderec-
178. Wang Y, Zhong W, Li L, Mi F, Zeng X, Huang ommendersystem,agentbasedon
W, Shang L, Jiang X, Liu Q. Aligning large lan-
largelanguagemodel.
guagemodelswithhuman: Asurvey. arXivpreprint
arXiv:2307.12966,2023
179. Huang J, Chang K C C. Towards reasoning in
Xueyang Feng is currently study-
large language models: A survey. arXiv preprint
arXiv:2212.10403,2022 ing for a Ph.D. degree at Ren-
180. MialonG,DessìR,LomeliM,NalmpantisC,Pasunuru min University of China, Beijing,
R, Raileanu R, Rozière B, Schick T, Dwivedi-Yu J,
China. His research interests in-
CelikyilmazA,others. Augmentedlanguagemodels:
asurvey. arXivpreprintarXiv:2302.07842,2023 cluderecommendersystem,agent
181. ChangY,WangX,WangJ,WuY,YangL,ZhuK,Chen basedonlargelanguagemodel.
H,YiX,WangC,WangY,others. Asurveyonevalu-
ationoflargelanguagemodels. ACMTransactionson
IntelligentSystemsandTechnology,2023
ZeyuZhangiscurrentlypursuing
182. ChangTA,BergenBK. Languagemodelbehavior:
aMaster’sdegreeatRenminUni-
Acomprehensivesurvey. ComputationalLinguistics,
2024,1–58 versity of China, Beijing, China.
183. Li C, Wang J, Zhu K, Zhang Y, Hou W, Lian J, Xie
Hisresearchinterestsincluderec-
X. Emotionprompt: Leveragingpsychologyforlarge
ommender system, causal infer-
languagemodelsenhancementviaemotionalstimulus.
arXive-prints,2023,arXiv–2307 ence, agent based on large lan-
184. ZhuoTY,LiZ,HuangY,ShiriF,WangW,HaffariG,
guagemodel.
LiYF. Onrobustnessofprompt-basedsemanticpars-
ingwithlargepre-trainedlanguagemodel: Anempiri-
HaoYangiscurrentlystudyingfor
calstudyoncodex. arXivpreprintarXiv:2301.12868,
aPh.D.degreeatRenminUniver-
2023
185. GekhmanZ,OvedN,KellerO,SzpektorI,ReichartR. sityofChina,Beijing,China. His
Ontherobustnessofdialoguehistoryrepresentationin
research interests include recom-
conversationalquestionanswering: acomprehensive
mendersystem,causalinference.
studyandanewprompt-basedmethod.Transactionsof
theAssociationforComputationalLinguistics,2023,
11: 351–366 Jingsen Zhang is currently study-
186. JiZ,LeeN,FrieskeR,YuT,SuD,XuY,IshiiE,Bang
ing for a Ph.D. degree at Ren-
Y J, Madotto A, Fung P. Survey of hallucination in
naturallanguagegeneration.ACMComputingSurveys, min University of China, Beijing,
2023,55(12): 1–38 China. His research interests in-
cluderecommendersystem.