Residential College | false |
Status | 已發表Published |
Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner | |
Shudong Liu1![]() ![]() ![]() ![]() ![]() | |
2024-11 | |
Conference Name | The 2024 Conference on Empirical Methods in Natural Language Processing |
Source Publication | The 2024 Conference on Empirical Methods in Natural Language Processing
![]() |
Conference Date | 2024-11-12 |
Conference Place | Miami, Florida |
Country | US |
Document Type | Conference paper |
Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Corresponding Author | Derek F. Wong |
Affiliation | 1.University of Macau 2.Harbin Institute of Technolgy, Shenzhen |
First Author Affilication | University of Macau |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Shudong Liu,Zhaocong Li,Xuebo Liu,et al. Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner[C], 2024. |
APA | Shudong Liu., Zhaocong Li., Xuebo Liu., Runzhe Zhan., Derek F. Wong., Lidia S. Chao., & Min zhang (2024). Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner. The 2024 Conference on Empirical Methods in Natural Language Processing. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment