Yusheng Su

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Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerifierad e-postadress på tsinghua.edu.cn
Maosong SunProfessor of Computer Science and Technology, Tsinghua UniversityVerifierad e-postadress på tsinghua.edu.cn
Yujia QinByteDanceVerifierad e-postadress på bytedance.com
Weize ChenTsinghua UniversityVerifierad e-postadress på mails.tsinghua.edu.cn
Chan Chi-MinHKUSTVerifierad e-postadress på connect.ust.hk
Ning DingTsinghua UniversityVerifierad e-postadress på mail.tsinghua.edu.cn
Xiaozhi WangTsinghua UniversityVerifierad e-postadress på mails.tsinghua.edu.cn
Yankai LinAssociate Professor (Tenure Track), Gaoling School of AI, Renmin University of ChinaVerifierad e-postadress på ruc.edu.cn
Shengding HuTsinghua UniversityVerifierad e-postadress på mails.tsinghua.edu.cn
Tang JieWeBank Chair Professor, Tsinghua UniversityVerifierad e-postadress på tsinghua.edu.cn
Xu HanTsinghua UniversityVerifierad e-postadress på mails.tsinghua.edu.cn
Zhengyan ZhangTsinghua UniversityVerifierad e-postadress på mails.tsinghua.edu.cn
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verifierad e-postadress på cmu.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerifierad e-postadress på cs.cmu.edu
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon ScholarVerifierad e-postadress på illinois.edu
Sherry Tongshuang WuAssistant Professor @ Carnegie Mellon UniversityVerifierad e-postadress på cs.cmu.edu
Samuel SchmidgallPhD Student Johns Hopkins UniversityVerifierad e-postadress på jhu.edu
Zicheng LiuMicrosoftVerifierad e-postadress på microsoft.com
Emad BarsoumAMD, Columbia UniversityVerifierad e-postadress på amd.com

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Yusheng Su

Andra namnYu-Sheng Su

Tsinghua University

Verifierad e-postadress på tsinghua.org.cn - Startsida

Large Language Model Machine Learning Natural Language Processing


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Parameter-efficient fine-tuning of large-scale pre-trained language models N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ... Nature Machine Intelligence 5 (3), 220-235, 2023	905*	2023
Chatdev: Communicative agents for software development C Qian, X Cong, C Yang, W Chen, Y Su, J Xu, Z Liu, M Sun ACL 2024, 15174–15186, 2024	525*	2024
Chateval: Towards better llm-based evaluators through multi-agent debate CM Chan, W Chen, Y Su, J Yu, W Xue, S Zhang, J Fu, Z Liu ICLR 2024, 2023	368	2023
Tool Learning with Foundation Models Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, Y Huang, C Xiao, ... ACM Computing Surveys, 2024	321	2024
Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors Y Su, W Chen, J Zuo, C Yang, C Yuan, CM Chan, H Yu, Y Lu, YH Hung, ... ICLR 2024, 2023	254*	2023
CPM: A large-scale generative Chinese pre-trained language model Z Zhang, X Han, H Zhou, P Ke, Y Gu, D Ye, Y Qin, Y Su, H Ji, J Guan, F Qi, ... AI Open (AI Open 2021) 2, 93-99, 2021	203*	2021
On Transferability of Prompt Tuning for Natural Language Processing Y Su, X Wang, Y Qin, CM Chan, Y Lin, H Wang, K Wen, Z Liu, P Li, J Li, ... NAACL 2022, 3949–3969, 2022	150	2022
CokeBERT: Contextual knowledge selection and embedding towards enhanced pre-trained language models Y Su, X Han, Z Zhang, P Li, Z Liu, Y Lin, J Zhou, M Sun EMNLP-Finding 2020, 2020	66	2020
Exploring Universal Intrinsic Task Subspace for Few-shot Learning via Prompt Tuning Y Qin, X Wang, Y Su, Y Lin, N Ding, J Yi, W Chen, Z Liu, J Li, L Hou, P Li, ... IEEE/ACM TASLP 2024, 2024	60*	2024
Knowledge Inheritance for Pre-trained Language Models Y Qin, Y Lin, J Yi, J Zhang, X Han, Z Zhang, Y Su, Z Liu, P Li, M Sun, ... NAACL 2022, 3921--3937, 2022	57	2022
Confidence matters: Revisiting intrinsic self-correction capabilities of large language models L Li, Z Chen, G Chen, Y Zhang, Y Su, E Xing, K Zhang arXiv preprint arXiv:2402.12563, 2024	24	2024
Xagent: An autonomous agent for complex task solving X Team https://github.com/OpenBMB/XAgent, 2023	14	2023
CSS-LM: A Contrastive Framework for Semi-Supervised Fine-Tuning of Pre-Trained Language Models Y Su, X Han, Y Lin, Z Zhang, Z Liu, P Li, J Zhou, M Sun IEEE/ACM TASLP 2021 29, 2930-2941, 2021	11	2021
Exploring the impact of model scaling on parameter-efficient tuning Y Su, CM Chan, J Cheng, Y Qin, Y Lin, S Hu, Z Yang, N Ding, X Sun, ... EMNLP 2023, 15062-15078, 2023	9*	2023
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication W Chen, C Yuan, J Yuan, Y Su, C Qian, C Yang, R Xie, Z Liu, M Sun EMNLP 2024, 10626–10641, 2024	8	2024
Language-specific representation of emotion-concept knowledge causally supports emotion inference M Li, Y Su, HY Huang, J Cheng, X Hu, X Zhang, H Wang, Y Qin, X Wang, ... iScience, 2024	6*	2024
Agent laboratory: Using llm agents as research assistants S Schmidgall, Y Su, Z Wang, X Sun, J Wu, X Yu, J Liu, Z Liu, E Barsoum arXiv preprint arXiv:2501.04227, 2025	2	2025
Introducing the First AMD 1B Language Models: AMD OLMo J Liu, J Wu, P Mishra, Z Liu, S Ranjan, PP Brahma, Y Su, G Ramesh, ... https://www.amd.com/en/developer/resources/technical-articles/introducing …, 2024		2024

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