Dayiheng Liu

According to our database, Dayiheng Liu authored at least 85 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rethinking the Exploitation of Monolingual Data for Low-Resource Neural Machine Translation.

Jianhui Pang, Baosong Yang, Derek Fai Wong, Yu Wan, Dayiheng Liu, Lidia S. Chao, Jun Xie

Comput. Linguistics, March, 2024

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Peng Wang, Shuai Bai, Sinan Tan, Shijie Wang, Zhihao Fan, Jinze Bai, Keqin Chen, Xuejing Liu, Jialin Wang, Wenbin Ge, Yang Fan, Kai Dang, Mengfei Du, Xuancheng Ren, Rui Men, Dayiheng Liu, Chang Zhou, Jingren Zhou, Junyang Lin

CoRR, 2024

Qwen2.5-Coder Technical Report.

Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Lei Zhang, Tianyu Liu, Jiajun Zhang, Bowen Yu, Kai Dang, An Yang, Rui Men, Fei Huang, Xingzhang Ren, Xuancheng Ren, Jingren Zhou, Junyang Lin

CoRR, 2024

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

An Yang, Beichen Zhang, Binyuan Hui, Bofei Gao, Bowen Yu, Chengpeng Li, Dayiheng Liu, Jianhong Tu, Jingren Zhou, Junyang Lin, Keming Lu, Mingfeng Xue, Runji Lin, Tianyu Liu, Xingzhang Ren, Zhenru Zhang

CoRR, 2024

Towards a Unified View of Preference Learning for Large Language Models: A Survey.

Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang

CoRR, 2024

Qwen2 Technical Report.

An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, Zhihao Fan

CoRR, 2024

DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning.

Chengpeng Li, Guanting Dong, Mingfeng Xue, Ru Peng, Xiang Wang, Dayiheng Liu

CoRR, 2024

An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model.

Yuxin Tian, Mouxing Yang, Yunfan Li, Dayiheng Liu, Xingzhang Ren, Xi Peng, Jiancheng Lv

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval.

Hang Zhang, Yeyun Gong, Dayiheng Liu, Shunyu Zhang, Xingwei He, Jiancheng Lv, Jian Guo

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation.

Jianhui Pang, Baosong Yang, Derek F. Wong, Dayiheng Liu, Xiangpeng Wei, Jun Xie, Lidia S. Chao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Rationales for Answers to Simple Math Word Problems Confuse Large Language Models.

Yidan Zhang, Mingfeng Xue, Dayiheng Liu, Zhenan He

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.

Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor Interpretation.

Yuyan Chen, Yichen Yuan, Panjun Liu, Dayiheng Liu, Qinghao Guan, Mengfei Guo, Haiming Peng, Bang Liu, Zhixu Li, Yanghua Xiao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models.

Mingfeng Xue, Dayiheng Liu, Kexin Yang, Guanting Dong, Wenqiang Lei, Zheng Yuan, Chang Zhou, Jingren Zhou

CoRR, 2023

Qwen Technical Report.

Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu

CoRR, 2023

PolyLM: An Open Source Polyglot Large Language Model.

Xiangpeng Wei, Haoran Wei, Huan Lin, Tianhao Li, Pei Zhang, Xingzhang Ren, Mei Li, Yu Wan, Zhiwei Cao, Binbin Xie, Tianxiang Hu, Shangjie Li, Binyuan Hui, Bowen Yu, Dayiheng Liu, Baosong Yang, Fei Huang, Jun Xie

CoRR, 2023

Interactive Natural Language Processing.

Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, Adam Nik, Qi Liu, Chenghua Lin, Shi Wang, Ruibo Liu, Wenhu Chen, Ke Xu, Dayiheng Liu, Yike Guo, Jie Fu

CoRR, 2023

Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors.

Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie

CoRR, 2023

EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning.

Ping Guo, Xiangpeng Wei, Yue Hu, Baosong Yang, Dayiheng Liu, Fei Huang, Jun Xie

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Voting for Efficient Reasoning in Large Language Models.

Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Xingzhang Ren, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, Jiancheng Lv

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation.

Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Jie Fu, Jian Lan, Mei Li, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, Jiancheng Lv

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization.

Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Noisy Pair Corrector for Dense Retrieval.

Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models.

Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, Yanghua Xiao

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.

Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Xiangpeng Wei, Zhengyuan Liu, Jun Xie

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.

Zhiwei Cao, Baosong Yang, Huan Lin, Suhang Wu, Xiangpeng Wei, Dayiheng Liu, Jun Xie, Min Zhang, Jinsong Su

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Tailor: A Soft-Prompt-Based Approach to Attribute-Based Controlled Text Generation.

Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Mingfeng Xue, Boxing Chen, Jun Xie

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.

Qian Qu, Jiancheng Lv, Dayiheng Liu, Kexin Yang

Soft Comput., 2022

Prediction, selection, and generation: a knowledge-driven conversation system.

Cheng Luo, Dayiheng Liu, Chanjuan Li, Li Lu, Jiancheng Lv

Neural Comput. Appl., 2022

Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task.

Yu Wan, Keqin Bao, Dayiheng Liu, Baosong Yang, Derek F. Wong, Lidia S. Chao, Wenqiang Lei, Jun Xie

CoRR, 2022

Draft, Command, and Edit: Controllable Text Editing in E-Commerce.

Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Qian Qu, Jiancheng Lv

CoRR, 2022

Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation.

Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Mingfeng Xue, Boxing Chen, Jun Xie

CoRR, 2022

RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation.

Yidan Zhang, Yu Wan, Dayiheng Liu, Baosong Yang, Zhenan He

CoRR, 2022

Effective Approaches to Neural Query Language Identification.

Xingzhang Ren, Baosong Yang, Dayiheng Liu, Haibo Zhang, Xiaoyu Lv, Liang Yao, Jun Xie

Comput. Linguistics, 2022

Alibaba-Translate China's Submission for WMT2022 Metrics Shared Task.

Yu Wan, Keqin Bao, Dayiheng Liu, Baosong Yang, Derek F. Wong, Lidia S. Chao, Wenqiang Lei, Jun Xie

Proceedings of the Seventh Conference on Machine Translation, 2022

Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task.

Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie

Proceedings of the Seventh Conference on Machine Translation, 2022

Self-supervised Product Title Rewrite for Product Listing Ads.

Xue Zhao, Dayiheng Liu, Junwei Ding, Liang Yao, Mahone Yan, Huibo Wang, Wenqing Yao

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.

Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

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.

Huan Lin, Baosong Yang, Liang Yao, Dayiheng Liu, Haibo Zhang, Jun Xie, Min Zhang, Jinsong Su

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?

Pei Zhang, Baosong Yang, Haoran Wei, Dayiheng Liu, Kai Fan, Luo Si, Jun Xie

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Unsupervised Preference-Aware Language Identification.

Xingzhang Ren, Baosong Yang, Dayiheng Liu, Haibo Zhang, Xiaoyu Lv, Liang Yao, Jun Xie

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

UniTE: Unified Translation Evaluation.

Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Derek F. Wong, Lidia S. Chao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation.

Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, Jinsong Su

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

An automatic evaluation metric for Ancient-Modern Chinese translation.

Kexin Yang, Dayiheng Liu, Qian Qu, Yongsheng Sang, Jiancheng Lv

Neural Comput. Appl., 2021

KGR^4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation.

Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, Jinsong Su

CoRR, 2021

Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval.

Linlong Xu, Baosong Yang, Xiaoyu Lv, Tianchi Bi, Dayiheng Liu, Haibo Zhang

CoRR, 2021

Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System.

Cheng Luo, Dayiheng Liu, Chanjuan Li, Li Lu, Jiancheng Lv

CoRR, 2021

RoBLEURT Submission for WMT2021 Metrics Task.

Yu Wan, Dayiheng Liu, Baosong Yang, Tianchi Bi, Haibo Zhang, Boxing Chen, Weihua Luo, Derek F. Wong, Lidia S. Chao

Proceedings of the Sixth Conference on Machine Translation, 2021

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

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.

Huishuang Tian, Kexin Yang, Dayiheng Liu, Jiancheng Lv

Proceedings of the International Joint Conference on Neural Networks, 2021

BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining.

Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan

Proceedings of the 38th International Conference on Machine Learning, 2021

Evolving transformer architecture for neural machine translation.

Ben Feng, Dayiheng Liu, Yanan Sun

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

POS-Constrained Parallel Decoding for Non-autoregressive Generation.

Kexin Yang, Wenqiang Lei, Dayiheng Liu, Weizhen Qi, Jiancheng Lv

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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, Jinsong Su

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Towards User-Driven Neural Machine Translation.

Huan Lin, Liang Yao, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Degen Huang, Jinsong Su

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Ancient-Modern Chinese Translation with a New Large Training Dataset.

Dayiheng Liu, Kexin Yang, Qian Qu, Jiancheng Lv

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

μ-Forcing: Training Variational Recurrent Autoencoders for Text Generation.

Dayiheng Liu, Yang Xue, Feng He, Yuanyuan Chen, Jiancheng Lv

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation.

Huishuang Tian, Kexin Yang, Dayiheng Liu, Jiancheng Lv

CoRR, 2020

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation.

Dayiheng Liu, Yeyun Gong, Jie Fu, Wei Liu, Yu Yan, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan

CoRR, 2020

Generating Chinese Poetry from Images via Concrete and Abstract Information.

Yusen Liu, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Exploration on the Generation of Chinese Palindrome Poetry.

Liao Chen, Zhichen Lai, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training.

Weizhen Qi, Yu Yan, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou

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.

Dayiheng Liu, Yeyun Gong, Yu Yan, Jie Fu, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan

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.

Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Herb-Know: Knowledge Enhanced Prescription Generation for Traditional Chinese Medicine.

Chanjuan Li, Dayiheng Liu, Kexin Yang, Xiaoming Huang, Jiancheng Lv

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Let's be Humorous: Knowledge Enhanced Humor Generation.

Hang Zhang, Dayiheng Liu, Jiancheng Lv, Cheng Luo

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

RikiNet: Reading Wikipedia Pages for Natural Question Answering.

Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Deep Poetry: A Chinese Classical Poetry Generation System.

Yusen Liu, Dayiheng Liu, Jiancheng Lv

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning.

Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Generating Style-Specific Chinese Tang Poetry With a Simple Actor-Critic Model.

Dayiheng Liu, Jiancheng Lv, Yunxia Li

IEEE Trans. Emerg. Top. Comput. Intell., 2019

BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation.

Dayiheng Liu, Jie Fu, Qian Qu, Jiancheng Lv

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Deep learning-based automatic downbeat tracking: a brief review.

Bijue Jia, Jiancheng Lv, Dayiheng Liu

Multim. Syst., 2019

Revision in Continuous Space: Fine-Grained Control of Text Style Transfer.

Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv

CoRR, 2019

mu-Forcing: Training Variational Recurrent Autoencoders for Text Generation.

Dayiheng Liu, Yang Xue, Feng He, Yuanyuan Chen, Jiancheng Lv

CoRR, 2019

TIGS: An Inference Algorithm for Text Infilling with Gradient Search.

Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Ancient-Modern Chinese Translation with a Large Training Dataset.

Dayiheng Liu, Jiancheng Lv, Kexin Yang, Qian Qu

CoRR, 2018

BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation.

Dayiheng Liu, Jiancheng Lv, Feng He, Yifan Pu

CoRR, 2018

Method to Improve the Performance of Restricted Boltzmann Machines.

Jing Yin, Qingyu Mao, Dayiheng Liu, Yong Xu, Jiancheng Lv

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

A Multi-Modal Chinese Poetry Generation Model.

Dayiheng Liu, Quan Guo, Wubo Li, Jiancheng Lv

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2016

A neural words encoding model.

Dayiheng Liu, Jian Cheng Lv, Xiaofeng Qi, Jiangshu Wei

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016