Yuxian Meng

According to our database1, Yuxian Meng authored at least 45 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Defending against Backdoor Attacks in Natural Language Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Sentence Similarity Based on Contexts.
Trans. Assoc. Comput. Linguistics, 2022

kNN-NER: Named Entity Recognition with Nearest Neighbor Search.
CoRR, 2022

Triggerless Backdoor Attack for NLP Tasks with Clean Labels.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

GNN-LM: Language Modeling based on Global Contexts via GNN.
Proceedings of the Tenth International Conference on Learning Representations, 2022

BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

An MRC Framework for Semantic Role Labeling.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Paraphrase Generation as Unsupervised Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Fast Nearest Neighbor Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Dependency Parsing as MRC-based Span-Span Prediction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Faster Nearest Neighbor Machine Translation.
CoRR, 2021

Triggerless Backdoor Attack for NLP Tasks with Clean Labels.
CoRR, 2021

Interpreting Deep Learning Models in Natural Language Processing: A Review.
CoRR, 2021

OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts.
CoRR, 2021

An MRC Framework for Semantic Role Labeling.
CoRR, 2021

Layer-wise Model Pruning based on Mutual Information.
CoRR, 2021

Defending against Backdoor Attacks in Natural Language Generation.
CoRR, 2021

Parameter Estimation for the SEIR Model Using Recurrent Nets.
CoRR, 2021

Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation.
CoRR, 2021

BertGCN: Transductive Text Classification by Combining GCN and BERT.
CoRR, 2021

Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

ConRPG: Paraphrase Generation using Contexts as Regularizer.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

kFolden: k-Fold Ensemble for Out-Of-Distribution Detection.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Layer-wise Model Pruning based on Mutual Information.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

BertGCN: Transductive Text Classification by Combining GNN and BERT.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts.
CoRR, 2020

Self-Explaining Structures Improve NLP Models.
CoRR, 2020

Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining.
CoRR, 2020

Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries.
CoRR, 2020

Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability.
CoRR, 2020

Improving Robustness and Generality of NLP Models Using Disentangled Representations.
CoRR, 2020

SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection.
CoRR, 2020

Non-Autoregressive Neural Dialogue Generation.
CoRR, 2020

LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention.
CoRR, 2020

SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Dice Loss for Data-imbalanced NLP Tasks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Unified MRC Framework for Named Entity Recognition.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs.
CoRR, 2019

Query-Based Named Entity Recognition.
CoRR, 2019

DSReg: Using Distant Supervision as a Regularizer.
CoRR, 2019

Glyce: Glyph-vectors for Chinese Character Representations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


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