Publications
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis, Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi
NAACL 2022
Dangling-Aware Entity Alignment with Mixed High-Order Proximities
Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen
Findings of NAACL 2022
Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation, Huan Lin, Baosong Yang, Liang Yao, Dayiheng Liu, Haibo Zhang, Jun Xie, Min Zhang, Jinsong Su
Findings of NAACL 2022
Self-supervised Product Title Rewrite for Product Listing Ads
Xue Zhao, Dayiheng Liu, Mahone Yan, Liang Yao, Wang Huibo Gary, Junwei Ding, Wenqing Yao
NAACL 2022, Track Industry
UniTE: Unified Translation Evaluation
Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Derek F. Wong, Lidia S. Chao
Association for Computational Linguistics. ACL 2022
GCPG: A General Framework for Controllable Paraphrase Generation
Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Haibo Zhang, Xue Zhao, Wenqing Yao, Boxing Chen
Findings of Association for Computational Linguistics. ACL 2022
Attention Mechanism with Energy-Friendly Operations
Yu Wan, Baosong Yang, Dayiheng Liu, Rong Xiao, Derek F. Wong, Haibo Zhang, Boxing Chen, Lidia S. Chao
Findings of Association for Computational Linguistics. ACL 2022
Unsupervised Preference-Aware Language Identification
Xingzhang Ren, Baosong Yang, Dayiheng Liu, Haibo Zhang, Xiaoyu Lv, Liang Yao, Jun Xie
Findings of Association for Computational Linguistics. ACL 2022
RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation
Yidan Zhang, Yu Wan, Dayiheng Liu, Baosong Yang, Zhenan He
arXiv 2022 [arXiv]
KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation
Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Jinsong Su
Association for the Advancement of Artificial Intelligence. AAAI 2022 [arXiv]
Frequency-Aware Contrastive Learning for Neural Machine Translation
Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao
Association for the Advancement of Artificial Intelligence. AAAI 2022 [arXiv]
Prediction, Selection, and Generation: A Knowledge-driven Conversation System
Luo Cheng, Dayiheng Liu, Chanjuan Li, Jiancheng Lv, Li Lu
Neural Computing and Applications. NCAA 2022
GLGE: A New General Language Generation Evaluation Benchmark
Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan
Findings of Association for Computational Linguistics. ACL 2021 [arXiv][code][leaderboard]
POS-constrained Parallel Decoding for Non-autoregressive Generation
Kexin Yang, Wenqiang Lei, Dayiheng Liu, Weizhen Qi and Jiancheng Lv
Association for Computational Linguistics. ACL 2021 [paper]
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation
Xin Liu, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Min Zhang, Haiying Zhang and Jinsong Su
Association for Computational Linguistics. ACL 2021 [paper]
Towards User-Driven Neural Machine Translation
Huan Lin, Liang Yao, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Degen Huang and Jinsong Su
Association for Computational Linguistics. ACL 2021 [paper]
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining
Weizhen Qi, Yeyun Gong*, Jian Jiao*, Yu Yan*, Dayiheng Liu* (equal contribution), Weizhu Chen*, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan
International Conference on Machine Learning. ICML 2021 [arXiv]
Mask Attention Networks: Rethinking and Strengthen Transformer
Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang
Annual Conference of the North American Chapter of the Association for Computational Linguistics. NAACL 2021 [arXiv]
RoBLEURT Submission for WMT2021 Metrics Task
Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Weihua Luo, Derek F. Wong and Lidia S. Chao
The Sixth Conference in Machine Translation, WMT 2021 [paper]
AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation
Huishuang Tian, Kexin Yang, Dayiheng Liu, Jiancheng Lv
International Joint Conference on Neural Networks. IJCNN 2021 [arXiv]
Evolving Transformer Architecture for Neural Machine Translation
Ben Feng, Dayiheng Liu, Yanan Sun
Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2021 [paper]
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan and Ming Zhou
Conference on Empirical Methods in Natural Language Processing. EMNLP 2020 [paper][code]
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation
Dayiheng Liu, Yeyun Gong, Yu Yan, Jie Fu, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan
Conference on Empirical Methods in Natural Language Processing. EMNLP 2020 [paper][code]
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training
Yu Yan*, Weizhen Qi*, Yeyun Gong*, Dayiheng Liu* (equal contribution), Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou
Conference on Empirical Methods in Natural Language Processing. Findings of EMNLP 2020 [paper][code][intro]
RikiNet: Reading Wikipedia Pages for Natural Question Answering
Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv and Nan Duan
Association for Computational Linguistics. ACL 2020 [paper]
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv
Association for the Advancement of Artificial Intelligence. AAAI 2020 [arXiv][cite][code][poster]
Deep Poetry: A Chinese Classical Poetry Generation System
Yusen Liu*, Dayiheng Liu* (equal contribution), Jiancheng Lv
Association for the Advancement of Artificial Intelligence, Demonstrations Program. AAAI 2020 [arXiv][video][poster]
Herb-Know: Knowledge Enhanced Prescription Generation for Traditional Chinese Medicine
Chanjuan Li, Dayiheng Liu, Kexin Yang, Xiaoming Huang, Jiancheng Lv
IEEE International Conference on Bioinformatics and Biomedicine. BIBM 2020
Generating Chinese Poetry from Images via Concrete and Abstract Information
Yusen Liu, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang
International Joint Conference on Neural Networks. IJCNN 2020 [arXiv]
An Automatic Evaluation Metric for Ancient-Modern Chinese Translation
Kexin Yang, Dayiheng Liu, Qian Qu, Jiancheng Lv, Yongsheng Sang
Neural Computing and Applications. NCAA 2020
Exploration on the Generation of Chinese Palindrome Poetry
Liao Chen, Zhichen Lai, Dayiheng Liu, Jiancheng Lv and Yongsheng Sang
International Conference on Neural Information Processing. ICONIP 2020
Let’s be Humorous: Knowledge Enhanced Humor Generation
Hang Zhang, Dayiheng Liu, Jiancheng Lv, Cheng Luo
arXiv 2020 [arXiv]
TIGS: An Inference Algorithm for Text Infilling with Gradient Search
Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv
Association for Computational Linguistics. ACL 2019 [paper][cite][code][poster]
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation
Dayiheng Liu, Jie Fu, Qian Qu, Jiancheng Lv
IEEE/ACM Transactions on Audio, Speech, and Language Processing. TASLP 2019 [arXiv][cite][paper]
µ-Forcing: Training Variational Recurrent Autoencoders for Text Generation
Dayiheng Liu, Xue Yang*, Feng He, Yuanyuan Chen, Jiancheng Lv
ACM Transactions on Asian and Low-Resource Language Information Processing. TALLIP 2019 [arXiv][cite][code]
Ancient-Modern Chinese Translation with a New Large Training Dataset
Dayiheng Liu, Kexin Yang, Qian Qu, Jiancheng Lv
ACM Transactions on Asian and Low-Resource Language Information Processing. TALLIP 2019 [arXiv][cite][dataset][demo]
A Multi-Modal Chinese Poetry Generation Model
Dayiheng Liu, Quan Guo, Wubo Li, Jiancheng Lv
International Joint Conference on Neural Networks. IJCNN 2018 [arXiv][cite][demo][poster]
Deep learning-based automatic downbeat tracking: a brief review
Bijue Jia, Jiancheng Lv, Dayiheng Liu
Multimedia Systems 2019 [arXiv]
Generating Style-specific Chinese Tang Poetry with a Simple Actor-Critic Model
Dayiheng Liu, Jiancheng Lv, Yunxia Li
IEEE Transactions on Emerging Topics in Computational Intelligence. TETCI 2018 [paper][samples]