Xin Zhou

Affiliations:
  • Fudan University, School of Computer Science, Shanghai, China


According to our database1, Xin Zhou authored at least 19 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
LongHeads: Multi-Head Attention is Secretly a Long Context Processor.
CoRR, 2024

Are Large Language Models Good Prompt Optimizers?
CoRR, 2024

2023
Making Harmful Behaviors Unlearnable for Large Language Models.
CoRR, 2023

TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Coarse-to-fine Few-shot Learning for Named Entity Recognition.
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.
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.
CoRR, 2022

Template-free Prompt Tuning for Few-shot NER.
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ProofInfer: Generating Proof via Iterative Hierarchical Inference.
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.
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.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models.
CoRR, 2021

Template-free Prompt Tuning for Few-shot NER.
CoRR, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
CoRR, 2021

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


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