Xin Zhou

According to our database, Xin Zhou authored at least 21 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Are Large Language Models Good Prompt Optimizers?

Ruotian Ma, Xiaolei Wang, Xin Zhou, Jian Li, Nan Du, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, 2024

Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs.

Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LongHeads: Multi-Head Attention is Secretly a Long Context Processor.

Yi Lu, Xin Zhou, Wei He, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Making Harmful Behaviors Unlearnable for Large Language Models.

Xin Zhou, Yi Lu, Ruotian Ma, Yujian Wei, Tao Gui, Qi Zhang, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Making Harmful Behaviors Unlearnable for Large Language Models.

Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, 2023

TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference.

Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View.

Ruotian Ma, Xiaolei Wang, Xin Zhou, Qi Zhang, Xuanjing Huang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations.

Xin Zhou, Yi Lu, Ruotian Ma, Tao Gui, Yuran Wang, Yong Ding, Yibo Zhang, Qi Zhang, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Coarse-to-fine Few-shot Learning for Named Entity Recognition.

Ruotian Ma, Zhang Lin, Xuanting Chen, Xin Zhou, Junzhe Wang, Tao Gui, Qi Zhang, Xiang Gao, Yun Wen Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Learning "O" Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER.

Ruotian Ma, Xuanting Chen, Zhang Lin, Xin Zhou, Junzhe Wang, Tao Gui, Qi Zhang, Xiang Gao, Yun Wen Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Searching for Optimal Subword Tokenization in Cross-domain NER.

Ruotian Ma, Yiding Tan, Xin Zhou, Xuanting Chen, Di Liang, Sirui Wang, Wei Wu, Tao Gui, Qi Zhang

CoRR, 2022

Template-free Prompt Tuning for Few-shot NER.

Ruotian Ma, Xin Zhou, Tao Gui, Yiding Tan, Linyang Li, Qi Zhang, Xuanjing Huang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Searching for Optimal Subword Tokenization in Cross-domain NER.

Ruotian Ma, Yiding Tan, Xin Zhou, Xuanting Chen, Di Liang, Sirui Wang, Wei Wu, Tao Gui

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion.

Xin Zhou, Jinzhu Lu, Tao Gui, Ruotian Ma, Zichu Fei, Yuran Wang, Yong Ding, Yibo Cheung, Qi Zhang, Xuanjing Huang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ProofInfer: Generating Proof via Iterative Hierarchical Inference.

Zichu Fei, Qi Zhang, Xin Zhou, Tao Gui, Xuanjing Huang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks.

Xin Zhou, Ruotian Ma, Yicheng Zou, Xuanting Chen, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases.

Zichu Fei, Xin Zhou, Tao Gui, Qi Zhang, Xuanjing Huang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models.

Xin Zhou, Ruotian Ma, Tao Gui, Yiding Tan, Qi Zhang, Xuanjing Huang

CoRR, 2021

Template-free Prompt Tuning for Few-shot NER.

Ruotian Ma, Xin Zhou, Tao Gui, Yiding Tan, Qi Zhang, Xuanjing Huang

CoRR, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.

Tao Gui, Xiao Wang, Qi Zhang, Qin Liu, Yicheng Zou, Xin Zhou, Rui Zheng, Chong Zhang, Qinzhuo Wu, Jiacheng Ye, Zexiong Pang, Yongxin Zhang, Zhengyan Li, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xinwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Bolin Zhu, Shan Qin, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang

CoRR, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.

Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang, Qinzhuo Wu, Zhengyan Li, Chong Zhang, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Shan Qin, Bolin Zhu, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021