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xin zhou
xin zhou
computer science, Fudan University
Verified email at fudan.edu.cn
Title
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Cited by
Year
Template-free prompt tuning for few-shot NER
R Ma*, X Zhou*, T Gui, Y Tan, L Li, Q Zhang, X Huang
arXiv preprint arXiv:2109.13532, 2021
1522021
Textflint: Unified multilingual robustness evaluation toolkit for natural language processing
X Wang, Q Liu, T Gui, Q Zhang, Y Zou, X Zhou, J Ye, Y Zhang, R Zheng, ...
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
117*2021
Searching for optimal subword tokenization in cross-domain ner
R Ma, Y Tan, X Zhou, X Chen, D Liang, S Wang, W Wu, T Gui, Q Zhang
arXiv preprint arXiv:2206.03352, 2022
112022
Making harmful behaviors unlearnable for large language models
X Zhou, Y Lu, R Ma, T Gui, Q Zhang, X Huang
arXiv preprint arXiv:2311.02105, 2023
102023
Textobfuscator: Making pre-trained language model a privacy protector via obfuscating word representations
X Zhou, Y Lu, R Ma, T Gui, Y Wang, Y Ding, Y Zhang, Q Zhang, XJ Huang
Findings of the Association for Computational Linguistics: ACL 2023, 5459-5473, 2023
102023
Coarse-to-fine few-shot learning for named entity recognition
R Ma, Z Lin, X Chen, X Zhou, J Wang, T Gui, Q Zhang, X Gao, YW Chen
Findings of the Association for Computational Linguistics: ACL 2023, 4115-4129, 2023
102023
Textfusion: Privacy-preserving pre-trained model inference via token fusion
X Zhou, J Lu, T Gui, R Ma, Z Fei, Y Wang, Y Ding, Y Cheung, Q Zhang, ...
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
102022
Making parameter-efficient tuning more efficient: A unified framework for classification tasks
X Zhou, R Ma, Y Zou, X Chen, T Gui, Q Zhang, XJ Huang, R Xie, W Wu
Proceedings of the 29th International Conference on Computational …, 2022
82022
Are Large Language Models Good Prompt Optimizers?
R Ma, X Wang, X Zhou, J Li, N Du, T Gui, Q Zhang, X Huang
arXiv preprint arXiv:2402.02101, 2024
62024
Learning “O” helps for learning more: Handling the unlabeled entity problem for class-incremental NER
R Ma, X Chen, Z Lin, X Zhou, J Wang, T Gui, Q Zhang, X Gao, YW Chen
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
42023
LFKQG: A controlled generation framework with local fine-tuning for question generation over knowledge bases
Z Fei, X Zhou, T Gui, Q Zhang, XJ Huang
Proceedings of the 29th International Conference on Computational …, 2022
32022
Towards building more robust ner datasets: An empirical study on ner dataset bias from a dataset difficulty view
R Ma, X Wang, X Zhou, Q Zhang, XJ Huang
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
22023
TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference
X Zhou, Y Lu, R Ma, T Gui, Q Zhang, XJ Huang
Findings of the Association for Computational Linguistics: EMNLP 2023, 3749-3762, 2023
22023
Plug-tagger: A pluggable sequence labeling framework using language models
X Zhou, R Ma, T Gui, Y Tan, Q Zhang, X Huang
arXiv preprint arXiv:2110.07331, 2021
22021
LongHeads: Multi-Head Attention is Secretly a Long Context Processor
Y Lu*, X Zhou*, W He, J Zhao, T Ji, T Gui, Q Zhang, X Huang
arXiv preprint arXiv:2402.10685, 2024
2024
ProofInfer: Generating Proof via Iterative Hierarchical Inference
Z Fei, Q Zhang, X Zhou, T Gui, XJ Huang
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
2022
Learning" O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER
R Ma, X Chen, L Zhang, X Zhou, J Wang, T Gui, Q Zhang, X Gao, Y Chen
arXiv preprint arXiv:2210.04676, 2022
2022
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