Haoyang Huang
According to our database1,
Haoyang Huang
authored at least 40 papers
between 2019 and 2024.
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Bibliography
2024
Research and Implementation of Data Enhancement Techniques for Graph Neural Networks.
CoRR, 2024
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.
CoRR, 2024
Proceedings of the International Symposium on Secure and Private Execution Environment Design, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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
Respond in my Language: Mitigating Language Inconsistency in Response Generation based on Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
IEEE ACM Trans. Audio Speech Lang. Process., 2023
CoRR, 2023
CoRR, 2023
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
Proceedings of the Database Systems for Advanced Applications, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
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
CoRR, 2022
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
Proceedings of the CAIBDA 2022, 2022
2021
CoRR, 2021
Proceedings of the Sixth Conference on Machine Translation, 2021
Proceedings of the Natural Language Processing and Chinese Computing, 2021
Proceedings of the Natural Language Processing and Chinese Computing, 2021
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
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
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
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