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Xinzhe Li
Xinzhe Li
PhD student, Deakin University
Verified email at deakin.edu.au
Title
Cited by
Cited by
Year
A survey on out-of-distribution evaluation of neural nlp models
X Li, M Liu, S Gao, W Buntine
IJCAI Survey Track, 2023
82023
Exploring the vulnerability of natural language processing models via universal adversarial texts
X Li, M Liu, X Ma, L Gao
ALTA2021, 138-148, 2021
22021
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data
X Li, M Liu, S Gao
TrustNLP 2023, 2023
12023
GRAMMAR: Grounded and Modular Evaluation of Domain-Specific Retrieval-Augmented Language Models
X Li, M Liu, S Gao
arXiv preprint arXiv:2404.19232, 2024
2024
Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise?
X Li, M Liu, S Gao
Joint Conference on Lexical and Computational Semantics (*SEM 2023), 2023
2023
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Articles 1–5