Yusheng Su
Yusheng Su
Other namesYu-Sheng Su
Tsinghua University
Verified email at - Homepage
Cited by
Cited by
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
Communicative agents for software development
C Qian, X Cong, C Yang, W Chen, Y Su, J Xu, Z Liu, M Sun
arXiv preprint arXiv:2307.07924, 2023
Tool learning with foundation models
Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, Y Huang, C Xiao, ...
arXiv preprint arXiv:2304.08354, 2023
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
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
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
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
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
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
Exploring Universal Intrinsic Task Subspace 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, ...
ACL 2022, arXiv: 2110.07867, 2021
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
Xagent: An autonomous agent for complex task solving
X Team
Github Project, 2023
Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models
L Li, G Chen, Y Su, Z Chen, Y Zhang, E Xing, K Zhang
arXiv preprint arXiv:2402.12563, 2024
Human Emotion Knowledge Representation Emerges in Large Language Models and Supports Discrete Emotion Inference
M Li*, Y Su*, HY Huang, J Cheng, X Hu, X Zhang, H Wang, Y Qin, X Wang, ...
arXiv preprint arXiv:2302.09582, 2023
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
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
arXiv preprint arXiv:2402.18439, 2024
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