Ruotian Ma

According to our database1, Ruotian Ma authored at least 29 papers between 2019 and 2024.

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

Timeline

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Links

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Bibliography

2024
Are Large Language Models Good Prompt Optimizers?
CoRR, 2024

Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Making Harmful Behaviors Unlearnable for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 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
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER.
CoRR, 2022

Searching for Optimal Subword Tokenization in Cross-domain NER.
CoRR, 2022

Rebuild and Ensemble: Exploring Defense Against Text Adversaries.
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

Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?
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

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

KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier.
CoRR, 2021

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

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

Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 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

SENT: Sentence-level Distant Relation Extraction via Negative Training.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

BERT-ATTACK: Adversarial Attack Against BERT Using BERT.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Simplify the Usage of Lexicon in Chinese NER.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Simplify the Usage of Lexicon in Chinese NER.
CoRR, 2019

CNN-Based Chinese NER with Lexicon Rethinking.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019


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