Haoyang Huang

According to our database1, Haoyang Huang authored at least 36 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
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models.
CoRR, 2024

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.
CoRR, 2024

Revamping Multilingual Agreement Bidirectionally via Switched Back-translation for Multilingual Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Not All Metrics Are Guilty: Improving NLG Evaluation with LLM Paraphrasing.
CoRR, 2023

One-stop Training of Multiple Capacity Models.
CoRR, 2023

Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting.
CoRR, 2023

Chain-of-Dictionary Prompting Elicits Translation in Large Language Models.
CoRR, 2023

SHELTER: Extending Arm CCA with Isolation in User Space.
Proceedings of the 32nd USENIX Security Symposium, 2023

TRIP: Accelerating Document-level Multilingual Pre-training via Triangular Document-level Pre-training on Parallel Data Triplets.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

HanoiT: Enhancing Context-aware Translation via Selective Context.
Proceedings of the Database Systems for Advanced Applications, 2023

GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
TRIP: Triangular Document-level Pre-training for Multilingual Language Models.
CoRR, 2022

LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation.
CoRR, 2022

Towards Multilingual Transitivity and Bidirectional Multilingual Agreement for Multilingual Document-level Machine Translation.
CoRR, 2022

GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation.
CoRR, 2022

NÜWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN.
CoRR, 2022

SMDT: Selective Memory-Augmented Neural Document Translation.
CoRR, 2022

BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Asset Trading Strategies Based on LSTM - Bitcoin and Gold as an Example.
Proceedings of the CAIBDA 2022, 2022

2021
BlonD: An Automatic Evaluation Metric for Document-level MachineTranslation.
CoRR, 2021

Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task.
Proceedings of the Sixth Conference on Machine Translation, 2021

Learning to Select Relevant Knowledge for Neural Machine Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

XGPT: Cross-modal Generative Pre-Training for Image Captioning.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Improving Multilingual Neural Machine Translation with Auxiliary Source Languages.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multilingual Agreement 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

Hierarchical Context-aware Network for Dense Video Event Captioning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders.
CoRR, 2020

M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training.
CoRR, 2020

XGPT: Cross-modal Generative Pre-Training for Image Captioning.
CoRR, 2020

UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation.
CoRR, 2020

2019
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Improving the Robustness of Deep Reading Comprehension Models by Leveraging Syntax Prior.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019


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