"Towards Robust and Generalizable Training: An Empirical Study of Noisy ..."

Jiachi Liu et al. (2023)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2310.03518

access: open

type: Informal or Other Publication

metadata version: 2024-06-19

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2310-03518
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2310-03518
Jiachi Liu, Liwen Wang, Guanting Dong, Xiaoshuai Song, Zechen Wang, Zhengyang Wang, Shanglin Lei, Jinzheng Zhao, Keqing He, Bo Xiao, Weiran Xu:
Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. CoRR abs/2310.03518 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.