Shuhao Gu

According to our database1, Shuhao Gu authored at least 23 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data.
CoRR, 2024

CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models.
CoRR, 2024

ReTok: Replacing Tokenizer to Enhance Representation Efficiency in Large Language Model.
CoRR, 2024

Aquila2 Technical Report.
CoRR, 2024

AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies.
CoRR, 2024

Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Addressing the Length Bias Problem in Document-Level Neural Machine Translation.
CoRR, 2023

Addressing the Length Bias Challenge in Document-Level Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Scaling Law for Document Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Enhancing Neural Machine Translation with Semantic Units.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mappings.
CoRR, 2022

Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mapping.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Importance-based Neuron Allocation for Multilingual Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Token-level Adaptive Training for Neural Machine Translation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Modeling Fluency and Faithfulness for Diverse Neural Machine Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Research on Cooling Technology of Shredder Cutting Tool With Ultrasonic Vibration-Assisted Cutting.
IEEE Access, 2019

Improving Multi-head Attention with Capsule Networks.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Improving Domain Adaptation Translation with Domain Invariant and Specific Information.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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