Dayiheng Liu
Orcid: 0000-0002-8755-8941
According to our database1,
Dayiheng Liu
authored at least 86 papers
between 2016 and 2024.
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Bibliography
2024
Rethinking the Exploitation of Monolingual Data for Low-Resource Neural Machine Translation.
Comput. Linguistics, March, 2024
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
CoRR, 2024
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.
CoRR, 2024
CoRR, 2024
DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning.
CoRR, 2024
An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
CoRR, 2023
Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors.
CoRR, 2023
EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Fantastic Expressions and Where to Find Them: Chinese Simile Generation with Multiple Constraints.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
CoupGAN: Chinese couplet generation via encoder-decoder model and adversarial training under global control.
Soft Comput., 2022
Neural Comput. Appl., 2022
CoRR, 2022
CoRR, 2022
Comput. Linguistics, 2022
Proceedings of the Seventh Conference on Machine Translation, 2022
Proceedings of the Seventh Conference on Machine Translation, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Neural Comput. Appl., 2021
CoRR, 2021
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval.
CoRR, 2021
Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System.
CoRR, 2021
Proceedings of the Sixth Conference on Machine Translation, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
AnchiBERT: A Pre-Trained Model for Ancient Chinese Language Understanding and Generation.
Proceedings of the International Joint Conference on Neural Networks, 2021
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 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
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 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
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020
AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation.
CoRR, 2020
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation.
CoRR, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Herb-Know: Knowledge Enhanced Prescription Generation for Traditional Chinese Medicine.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Emerg. Top. Comput. Intell., 2019
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2019
CoRR, 2019
CoRR, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation.
CoRR, 2018
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016