Rongxiang Weng

According to our database¹, Rongxiang Weng authored at least 22 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023

The Rise and Potential of Large Language Model Based Agents: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Secrets of RLHF in Large Language Models Part I: PPO.

[BibT_eX]

[DOI]

CoRR, 2023

G-Tuning: Improving Generalization of Pre-trained Language Models with Generative Adversarial Network.

[BibT_eX]

[DOI]

Rongxiang Weng

Wensen Cheng

Min Zhang

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

Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation.

[BibT_eX]

[DOI]

Qiang Wang

Rongxiang Weng

Ming Chen

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

Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Deep Fusing Pre-trained Models into Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

On Learning Universal Representations Across Languages.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Improving Self-Attention Networks With Sequential Relations.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2020

AR: Auto-Repair the Synthetic Data for Neural Machine Translation.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Enhancing Faithfulness for Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Uncertainty-Aware Semantic Augmentation for Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multiscale Collaborative Deep Models for Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

GRET: Global Representation Enhanced Transformer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Improving Neural Machine Translation with Pre-trained Representation.

[BibT_eX]

[DOI]

CoRR, 2019

Correct-and-Memorize: Learning to Translate from Interactive Revisions.

[BibT_eX]

[DOI]

CoRR, 2019

Correct-and-Memorize: Learning to Translate from Interactive Revisions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Neural Machine Translation with Word Predictions.

[BibT_eX]

[DOI]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Rongxiang Weng

Timeline

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On csauthors.net:

Bibliography

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