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ORCIDYangyi Chen
- > Home > Persons > Yangyi Chen
Publications
- 2023
[j5]Biru Zhu, Ganqu Cui, Yangyi Chen, Yujia Qin, Lifan Yuan, Chong Fu, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu:
Removing Backdoors in Pre-trained Models by Regularized Continual Pre-training. Trans. Assoc. Comput. Linguistics 11: 1608-1623 (2023)- [c25]Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji:
A Close Look into the Calibration of Pre-trained Language Models. ACL (1) 2023: 1343-1367 - [c23]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji:
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. ACL (Findings) 2023: 9607-9632 - [c21]Biru Zhu, Lifan Yuan, Ganqu Cui, Yangyi Chen, Chong Fu, Bingxiang He, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu:
Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT. EMNLP 2023: 7470-7483 - [c19]Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun:
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations. NeurIPS 2023 - [i21]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji:
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. CoRR abs/2305.18503 (2023) - [i20]Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun:
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations. CoRR abs/2306.04618 (2023) - 2022
- [c17]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Fanchao Qi, Longtao Huang, Zhiyuan Liu, Maosong Sun:
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP. EMNLP 2022: 11222-11237 - [c16]Lei Xu, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Zhiyuan Liu:
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. NAACL-HLT (Findings) 2022: 1799-1810 - [c15]Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun:
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks. NeurIPS 2022 - [c14]Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu:
Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models. NeurIPS 2022 - [i11]Lei Xu, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Zhiyuan Liu:
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. CoRR abs/2204.05239 (2022) - [i10]Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun:
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks. CoRR abs/2206.08514 (2022) - [i9]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Fanchao Qi, Longtao Huang, Zhiyuan Liu, Maosong Sun:
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP. CoRR abs/2210.10683 (2022) - [i8]Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji:
A Close Look into the Calibration of Pre-trained Language Models. CoRR abs/2211.00151 (2022)
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