Seuraa
Yusheng Su
Yusheng Su
Muut nimetYu-Sheng Su
Tsinghua University
Vahvistettu sähköpostiosoite verkkotunnuksessa tsinghua.org.cn - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
921*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
538*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
3792023
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
3222024
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
262*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
1502022
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
662020
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
572022
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
242024
Xagent: An autonomous agent for complex task solving
X Team
https://github.com/OpenBMB/XAgent, 2023
142023
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
112021
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
92024
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
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
32025
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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Artikkelit 1–18