Haiyue Song
Orcid: 0000-0003-1159-0918
According to our database1,
Haiyue Song authored at least 45 papers
between 2013 and 2026.
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Bibliography
2026
OptiMer: Optimal Distribution Vector Merging Is Better than Data Mixing for Continual Pre-Training.
CoRR, March, 2026
Is Human Annotation Necessary? Iterative MBR Distillation for Error Span Detection in Machine Translation.
CoRR, March, 2026
2025
Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation.
CoRR, December, 2025
CoRR, August, 2025
bytF: How Good Are Byte Level N-Gram F-Scores for Automatic Machine Translation Evaluation?
Proceedings of Machine Translation Summit XX: MTSummit 2025, 2025
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Exploiting Word Sense Disambiguation in Large Language Models for Machine Translation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
PrahokBART: A Pre-trained Sequence-to-Sequence Model for Khmer Natural Language Generation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Studies on Subword-based Low-Resource Neural Machine Translation: Segmentation, Encoding, and Decoding ; サブワードに基づく低資源ニューラル機械翻訳に関する研究：分割、符号化、及び復号化.
PhD thesis, 2024
DiverSeg: Leveraging Diverse Segmentations with Cross-granularity Alignment for Neural Machine Translation.
J. Nat. Lang. Process., 2024
Bilingual Corpus Mining and Multistage Fine-tuning for Improving Machine Translation of Lecture Transcripts.
J. Inf. Process., 2024
Connecting Ideas in 'Lower-Resource' Scenarios: NLP for National Varieties, Creoles and Other Low-resource Scenarios.
CoRR, 2024
CoRR, 2024
Enhancing Personality Recognition in Dialogue by Data Augmentation and Heterogeneous Conversational Graph Networks.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
NICT's Cascaded and End-To-End Speech Translation Systems using Whisper and IndicTrans2 for the Indic Task.
Proceedings of the 21st International Conference on Spoken Language Translation, 2024
SubMerge: Merging Equivalent Subword Tokenizations for Subword Regularized Models in Neural Machine Translation.
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
How Effective is Synthetic Data and Instruction Fine-tuning for Translation with Markup using LLMs?
Proceedings of the 16th Conference of the Association for Machine Translation in the Americas, 2024
2023
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation.
ACM Trans. Asian Low Resour. Lang. Inf. Process., August, 2023
J. Inf. Process., 2023
Variable-length Neural Interlingua Representations for Zero-shot Neural Machine Translation.
CoRR, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
BERTSeg: BERT Based Unsupervised Subword Segmentation for Neural Machine Translation.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
2021
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021
2020
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation.
CoRR, 2020
Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020
2019
Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method.
ACM Trans. Design Autom. Electr. Syst., 2019
2018
Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators.
Proceedings of the International Conference on Computer-Aided Design, 2018
A FPGA Friendly Approximate Computing Framework with Hybrid Neural Networks: (Abstract Only).
Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018
2016
Sparse Signal Reconstruction Based on Time-Frequency Manifold for Rolling Element Bearing Fault Signature Enhancement.
IEEE Trans. Instrum. Meas., 2016
2013
Proceedings of the Linked Data and Knowledge Graph, 2013