Uncertainty in Language Models: Assessment through Rank-Calibration

Article Status
Published
Authors/contributors
Title
Uncertainty in Language Models: Assessment through Rank-Calibration
Proceedings Title
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Conference Name
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Publisher
Association for Computational Linguistics
Place
Miami, Florida, USA
Date
2024
Pages
284-312
Citation Key
huang2024
Accessed
21/02/2025, 17:16
Short Title
Uncertainty in Language Models
Language
en
Library Catalogue
DOI.org (Crossref)
Extra
<标题>: 语言模型中的不确定性:通过排名校准进行评估 Read_Status: New Read_Status_Date: 2026-01-26T11:33:31.076Z
Citation
Huang, X., Li, S., Yu, M., Sesia, M., Hassani, H., Lee, I., Bastani, O., & Dobriban, E. (2024). Uncertainty in Language Models: Assessment through Rank-Calibration. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 284–312. https://doi.org/10.18653/v1/2024.emnlp-main.18
Powered by Zotero and Kerko.