Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach.

Y. Yu, R. Zhang, R. Xu, J. Zhang, J. Shen, and C. Zhang. CoRR, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Shuying Zhang

Yue Zhang

Xianghong Zhang

Other publications of authors with the same name

m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks.Z. Ma, W. Huang, J. Zhang, T. Gupta, and R. Krishna. CoRR, (2024)Binary Classification with Positive Labeling Sources.J. Zhang, Y. Wang, Y. Yang, Y. Luo, and A. Ratner. CIKM, page 4672-4676. ACM, (2022)AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models.Y. Yu, L. Kong, J. Zhang, R. Zhang, and C. Zhang. NAACL-HLT, page 1422-1436. Association for Computational Linguistics, (2022)Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision.J. Zhang, L. Song, and A. Ratner. AISTATS, volume 206 of Proceedings of Machine Learning Research, page 157-171. PMLR, (2023)Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach.Y. Yu, R. Zhang, R. Xu, J. Zhang, J. Shen, and C. Zhang. CoRR, (2022)Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning.Q. He, H. Su, J. Zhang, and X. Hou. CVPR, page 20215-20225. IEEE, (2023)LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction.H. Cui, Z. Shen, J. Zhang, H. Shao, L. Qin, J. Ho, and C. Yang. CoRR, (2024)Subclass-balancing Contrastive Learning for Long-tailed Recognition.C. Hou, J. Zhang, H. Wang, and T. Zhou. ICCV, page 5372-5384. IEEE, (2023)A Survey on Deep Graph Generation: Methods and Applications.Y. Zhu, Y. Du, Y. Wang, Y. Xu, J. Zhang, Q. Liu, and S. Wu. LoG, volume 198 of Proceedings of Machine Learning Research, page 47. PMLR, (2022)Many-objective optimization meets recommendation systems: A food recommendation scenario.J. Zhang, M. Li, W. Liu, S. Lauria, and X. Liu. Neurocomputing, (2022)

BibSonomy

Disambiguation of "Zhang, Jieyu"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Yue Zhang

Xianghong Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Jieyu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Shuying Zhang

Yue Zhang

Xianghong Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach.