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2020 – today
- 2024
[j10]Jianhui Pang, Baosong Yang, Derek Fai Wong
, Yu Wan, Dayiheng Liu, Lidia S. Chao, Jun Xie:
Rethinking the Exploitation of Monolingual Data for Low-Resource Neural Machine Translation. Comput. Linguistics 50(1): 25-47 (2024)- [c51]Yuyan Chen, Yichen Yuan, Panjun Liu, Dayiheng Liu, Qinghao Guan, Mengfei Guo, Haiming Peng, Bang Liu, Zhixu Li, Yanghua Xiao:
Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor Interpretation. AAAI 2024: 17826-17834 - [c50]Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou:
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. ACL (1) 2024: 177-198 - [c49]Yidan Zhang, Mingfeng Xue, Dayiheng Liu, Zhenan He:
Rationales for Answers to Simple Math Word Problems Confuse Large Language Models. ACL (Findings) 2024: 8853-8869 - [c48]Hang Zhang, Yeyun Gong, Dayiheng Liu, Shunyu Zhang, Xingwei He, Jiancheng Lv, Jian Guo:
Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval. LREC/COLING 2024: 9810-9821 - [c47]Jianhui Pang, Baosong Yang, Derek F. Wong, Dayiheng Liu, Xiangpeng Wei, Jun Xie, Lidia S. Chao:
MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation. LREC/COLING 2024: 11560-11573 - [c46]Yuxin Tian, Mouxing Yang, Yunfan Li, Dayiheng Liu, Xingzhang Ren, Xi Peng, Jiancheng Lv:
An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model. ICME 2024: 1-6 - [i53]Yuxin Tian, Mouxing Yang, Yunfan Li, Dayiheng Liu, Xingzhang Ren, Xi Peng, Jiancheng Lv:
An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model. CoRR abs/2403.08433 (2024) - [i52]Chengpeng Li, Guanting Dong, Mingfeng Xue, Ru Peng, Xiang Wang, Dayiheng Liu:
DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning. CoRR abs/2407.04078 (2024) - [i51]Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao:
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. CoRR abs/2407.04118 (2024) - [i50]Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. CoRR abs/2407.04121 (2024) - [i49]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:
Qwen2 Technical Report. CoRR abs/2407.10671 (2024) - [i48]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:
Towards a Unified View of Preference Learning for Large Language Models: A Survey. CoRR abs/2409.02795 (2024) - [i47]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:
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement. CoRR abs/2409.12122 (2024) - [i46]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:
Qwen2.5-Coder Technical Report. CoRR abs/2409.12186 (2024) - [i45]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:
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution. CoRR abs/2409.12191 (2024) - 2023
- [c45]Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Mingfeng Xue, Boxing Chen, Jun Xie:
Tailor: A Soft-Prompt-Based Approach to Attribute-Based Controlled Text Generation. ACL (1) 2023: 410-427 - [c44]Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Xiangpeng Wei, Zhengyuan Liu, Jun Xie:
Fantastic Expressions and Where to Find Them: Chinese Simile Generation with Multiple Constraints. ACL (1) 2023: 468-486 - [c43]Zhiwei Cao, Baosong Yang, Huan Lin, Suhang Wu, Xiangpeng Wei, Dayiheng Liu, Jun Xie, Min Zhang, Jinsong Su:
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation. ACL (1) 2023: 5841-5853 - [c42]Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. CIKM 2023: 245-255 - [c41]Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Xingzhang Ren, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, Jiancheng Lv:
Dynamic Voting for Efficient Reasoning in Large Language Models. EMNLP (Findings) 2023: 3085-3104 - [c40]Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao:
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. EMNLP (Findings) 2023: 3279-3304 - [c39]Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo:
Noisy Pair Corrector for Dense Retrieval. EMNLP (Findings) 2023: 11439-11451 - [c38]Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Jie Fu, Jian Lan, Mei Li, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, Jiancheng Lv:
Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation. EMNLP 2023: 13805-13822 - [c37]Ping Guo, Xiangpeng Wei, Yue Hu, Baosong Yang, Dayiheng Liu, Fei Huang, Jun Xie:
EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning. NeurIPS 2023 - [i44]Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie:
Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors. CoRR abs/2302.08975 (2023) - [i43]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:
Interactive Natural Language Processing. CoRR abs/2305.13246 (2023) - [i42]Zhiwei Cao, Baosong Yang, Huan Lin, Suhang Wu, Xiangpeng Wei, Dayiheng Liu, Jun Xie, Min Zhang, Jinsong Su:
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation. CoRR abs/2305.16599 (2023) - [i41]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:
PolyLM: An Open Source Polyglot Large Language Model. CoRR abs/2307.06018 (2023) - [i40]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:
Qwen Technical Report. CoRR abs/2309.16609 (2023) - [i39]Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou:
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. CoRR abs/2310.05492 (2023) - [i38]Mingfeng Xue, Dayiheng Liu, Kexin Yang, Guanting Dong, Wenqiang Lei, Zheng Yuan, Chang Zhou, Jingren Zhou:
OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models. CoRR abs/2310.16517 (2023) - [i37]Ping Guo, Xiangpeng Wei, Yue Hu, Baosong Yang, Dayiheng Liu, Fei Huang, Jun Xie:
EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning. CoRR abs/2310.17233 (2023) - [i36]Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo:
Noisy Pair Corrector for Dense Retrieval. CoRR abs/2311.03798 (2023) - 2022
- [j9]Xingzhang Ren, Baosong Yang, Dayiheng Liu, Haibo Zhang, Xiaoyu Lv, Liang Yao, Jun Xie:
Effective Approaches to Neural Query Language Identification. Comput. Linguistics 48(4): 887-906 (2022) - [j8]Cheng Luo, Dayiheng Liu, Chanjuan Li, Li Lu, Jiancheng Lv:
Prediction, selection, and generation: a knowledge-driven conversation system. Neural Comput. Appl. 34(22): 20431-20446 (2022) - [j7]Qian Qu, Jiancheng Lv, Dayiheng Liu, Kexin Yang:
CoupGAN: Chinese couplet generation via encoder-decoder model and adversarial training under global control. Soft Comput. 26(15): 7423-7433 (2022) - [c36]Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, Jinsong Su:
KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation. AAAI 2022: 11029-11037 - [c35]Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao:
Frequency-Aware Contrastive Learning for Neural Machine Translation. AAAI 2022: 11712-11720 - [c34]Xingzhang Ren, Baosong Yang, Dayiheng Liu, Haibo Zhang, Xiaoyu Lv, Liang Yao, Jun Xie:
Unsupervised Preference-Aware Language Identification. ACL (Findings) 2022: 3847-3852 - [c33]Yu Wan, Baosong Yang, Dayiheng Liu, Rong Xiao, Derek F. Wong, Haibo Zhang, Boxing Chen, Lidia S. Chao:
Attention Mechanism with Energy-Friendly Operations. ACL (Findings) 2022: 3969-3976 - [c32]Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Haibo Zhang, Xue Zhao, Wenqing Yao, Boxing Chen:
GCPG: A General Framework for Controllable Paraphrase Generation. ACL (Findings) 2022: 4035-4047 - [c31]Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Derek F. Wong, Lidia S. Chao:
UniTE: Unified Translation Evaluation. ACL (1) 2022: 8117-8127 - [c30]Pei Zhang, Baosong Yang, Haoran Wei, Dayiheng Liu, Kai Fan, Luo Si, Jun Xie:
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? EMNLP 2022: 4959-4970 - [c29]Xue Zhao, Dayiheng Liu, Junwei Ding, Liang Yao, Mahone Yan, Huibo Wang, Wenqing Yao:
Self-supervised Product Title Rewrite for Product Listing Ads. NAACL-HLT (Industry Papers) 2022: 79-85 - [c28]Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen:
Dangling-Aware Entity Alignment with Mixed High-Order Proximities. NAACL-HLT (Findings) 2022: 1172-1184 - [c27]Huan Lin, Baosong Yang, Liang Yao, Dayiheng Liu, Haibo Zhang, Jun Xie, Min Zhang, Jinsong Su:
Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation. NAACL-HLT (Findings) 2022: 2622-2632 - [c26]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi:
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. NAACL-HLT 2022: 3071-3081 - [c25]Yu Wan, Keqin Bao, Dayiheng Liu, Baosong Yang, Derek F. Wong, Lidia S. Chao, Wenqiang Lei, Jun Xie:
Alibaba-Translate China's Submission for WMT2022 Metrics Shared Task. WMT 2022: 586-592 - [c24]Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie:
Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task. WMT 2022: 597-605 - [i35]Yidan Zhang, Yu Wan, Dayiheng Liu, Baosong Yang, Zhenan He:
RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation. CoRR abs/2203.00201 (2022) - [i34]Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Derek F. Wong, Lidia S. Chao:
UniTE: Unified Translation Evaluation. CoRR abs/2204.13346 (2022) - [i33]Yu Wan, Dayiheng Liu, Baosong Yang, Tianchi Bi, Haibo Zhang, Boxing Chen, Weihua Luo, Derek F. Wong, Lidia S. Chao:
RoBLEURT Submission for the WMT2021 Metrics Task. CoRR abs/2204.13352 (2022) - [i32]Yu Wan, Baosong Yang, Dayiheng Liu, Rong Xiao, Derek F. Wong, Haibo Zhang, Boxing Chen, Lidia S. Chao:
Attention Mechanism with Energy-Friendly Operations. CoRR abs/2204.13353 (2022) - [i31]Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Mingfeng Xue, Boxing Chen, Jun Xie:
Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation. CoRR abs/2204.13362 (2022) - [i30]Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen:
Dangling-Aware Entity Alignment with Mixed High-Order Proximities. CoRR abs/2205.02406 (2022) - [i29]Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi:
Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. CoRR abs/2205.03784 (2022) - [i28]Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Qian Qu, Jiancheng Lv:
Draft, Command, and Edit: Controllable Text Editing in E-Commerce. CoRR abs/2208.05623 (2022) - [i27]Yu Wan, Keqin Bao, Dayiheng Liu, Baosong Yang, Derek F. Wong, Lidia S. Chao, Wenqiang Lei, Jun Xie:
Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task. CoRR abs/2210.09683 (2022) - [i26]Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie:
Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task. CoRR abs/2210.10049 (2022) - [i25]Pei Zhang, Baosong Yang, Haoran Wei, Dayiheng Liu, Kai Fan, Luo Si, Jun Xie:
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? CoRR abs/2211.13865 (2022) - 2021
- [j6]Kexin Yang, Dayiheng Liu, Qian Qu, Yongsheng Sang, Jiancheng Lv:
An automatic evaluation metric for Ancient-Modern Chinese translation. Neural Comput. Appl. 33(8): 3855-3867 (2021) - [c23]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:
GLGE: A New General Language Generation Evaluation Benchmark. ACL/IJCNLP (Findings) 2021: 408-420 - [c22]Huan Lin, Liang Yao, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Degen Huang, Jinsong Su:
Towards User-Driven Neural Machine Translation. ACL/IJCNLP (1) 2021: 4008-4018 - [c21]Kexin Yang, Wenqiang Lei, Dayiheng Liu, Weizhen Qi, Jiancheng Lv:
POS-Constrained Parallel Decoding for Non-autoregressive Generation. ACL/IJCNLP (1) 2021: 5990-6000 - [c20]Xin Liu, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Min Zhang, Haiying Zhang, Jinsong Su:
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation. ACL/IJCNLP (1) 2021: 6001-6011 - [c19]Ben Feng, Dayiheng Liu, Yanan Sun:
Evolving transformer architecture for neural machine translation. GECCO Companion 2021: 273-274 - [c18]Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan:
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. ICML 2021: 8630-8639 - [c17]Huishuang Tian, Kexin Yang, Dayiheng Liu, Jiancheng Lv:
AnchiBERT: A Pre-Trained Model for Ancient Chinese Language Understanding and Generation. IJCNN 2021: 1-8 - [c16]Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang:
Mask Attention Networks: Rethinking and Strengthen Transformer. NAACL-HLT 2021: 1692-1701 - [c15]Yu Wan, Dayiheng Liu, Baosong Yang, Tianchi Bi, Haibo Zhang, Boxing Chen, Weihua Luo, Derek F. Wong, Lidia S. Chao:
RoBLEURT Submission for WMT2021 Metrics Task. WMT@EMNLP 2021: 1053-1058 - [i24]Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang:
Mask Attention Networks: Rethinking and Strengthen Transformer. CoRR abs/2103.13597 (2021) - [i23]Cheng Luo, Dayiheng Liu, Chanjuan Li, Li Lu, Jiancheng Lv:
Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System. CoRR abs/2104.11454 (2021) - [i22]Xin Liu, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Min Zhang, Haiying Zhang, Jinsong Su:
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation. CoRR abs/2106.06125 (2021) - [i21]Huan Lin, Liang Yao, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Degen Huang, Jinsong Su:
Towards User-Driven Neural Machine Translation. CoRR abs/2106.06200 (2021) - [i20]Linlong Xu, Baosong Yang, Xiaoyu Lv, Tianchi Bi, Dayiheng Liu, Haibo Zhang:
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval. CoRR abs/2111.01992 (2021) - [i19]Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, Jinsong Su:
KGR^4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation. CoRR abs/2112.08266 (2021) - [i18]Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao:
Frequency-Aware Contrastive Learning for Neural Machine Translation. CoRR abs/2112.14484 (2021) - 2020
- [j5]Dayiheng Liu, Kexin Yang, Qian Qu, Jiancheng Lv:
Ancient-Modern Chinese Translation with a New Large Training Dataset. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 6:1-6:13 (2020) - [j4]Dayiheng Liu, Yang Xue, Feng He, Yuanyuan Chen, Jiancheng Lv:
μ-Forcing: Training Variational Recurrent Autoencoders for Text Generation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 12:1-12:17 (2020) - [c14]Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv:
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning. AAAI 2020: 8376-8383 - [c13]Yusen Liu, Dayiheng Liu, Jiancheng Lv:
Deep Poetry: A Chinese Classical Poetry Generation System. AAAI 2020: 13626-13627 - [c12]Hang Zhang, Dayiheng Liu, Jiancheng Lv, Cheng Luo:
Let's be Humorous: Knowledge Enhanced Humor Generation. ACL (student) 2020: 156-161 - [c11]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan:
RikiNet: Reading Wikipedia Pages for Natural Question Answering. ACL 2020: 6762-6771 - [c10]Chanjuan Li, Dayiheng Liu, Kexin Yang, Xiaoming Huang, Jiancheng Lv:
Herb-Know: Knowledge Enhanced Prescription Generation for Traditional Chinese Medicine. BIBM 2020: 1560-1567 - [c9]Weizhen Qi, Yu Yan, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou:
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. EMNLP (Findings) 2020: 2401-2410 - [c8]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou:
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. EMNLP (1) 2020: 5798-5810 - [c7]Dayiheng Liu, Yeyun Gong, Yu Yan, Jie Fu, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan:
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. EMNLP (1) 2020: 6241-6250 - [c6]Liao Chen, Zhichen Lai, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang:
Exploration on the Generation of Chinese Palindrome Poetry. ICONIP (1) 2020: 754-765 - [c5]Yusen Liu, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang:
Generating Chinese Poetry from Images via Concrete and Abstract Information. IJCNN 2020: 1-8 - [i17]Yu Yan, Weizhen Qi, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou:
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. CoRR abs/2001.04063 (2020) - [i16]Yusen Liu, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang:
Generating Chinese Poetry from Images via Concrete and Abstract Information. CoRR abs/2003.10773 (2020) - [i15]Dayiheng Liu, Yeyun Gong, Jie Fu, Wei Liu, Yu Yan, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan:
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. CoRR abs/2004.03875 (2020) - [i14]Hang Zhang, Dayiheng Liu, Jiancheng Lv, Cheng Luo:
Let's be Humorous: Knowledge Enhanced Humor Generation. CoRR abs/2004.13317 (2020) - [i13]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan:
RikiNet: Reading Wikipedia Pages for Natural Question Answering. CoRR abs/2004.14560 (2020) - [i12]Huishuang Tian, Kexin Yang, Dayiheng Liu, Jiancheng Lv:
AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation. CoRR abs/2009.11473 (2020) - [i11]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou:
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. CoRR abs/2010.01475 (2020) - [i10]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:
GLGE: A New General Language Generation Evaluation Benchmark. CoRR abs/2011.11928 (2020) - [i9]Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Dayiheng Liu, Weizhu Chen, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan:
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. CoRR abs/2012.15525 (2020)
2010 – 2019
- 2019
- [j3]Bijue Jia, Jiancheng Lv, Dayiheng Liu:
Deep learning-based automatic downbeat tracking: a brief review. Multim. Syst. 25(6): 617-638 (2019) - [j2]Dayiheng Liu, Jie Fu, Qian Qu, Jiancheng Lv:
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2350-2361 (2019) - [j1]Dayiheng Liu, Jiancheng Lv, Yunxia Li:
Generating Style-Specific Chinese Tang Poetry With a Simple Actor-Critic Model. IEEE Trans. Emerg. Top. Comput. Intell. 3(4): 313-321 (2019) - [c4]Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv:
TIGS: An Inference Algorithm for Text Infilling with Gradient Search. ACL (1) 2019: 4146-4156 - [i8]Dayiheng Liu, Yang Xue, Feng He, Yuanyuan Chen, Jiancheng Lv:
mu-Forcing: Training Variational Recurrent Autoencoders for Text Generation. CoRR abs/1905.10072 (2019) - [i7]Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv:
TIGS: An Inference Algorithm for Text Infilling with Gradient Search. CoRR abs/1905.10752 (2019) - [i6]Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv:
Revision in Continuous Space: Fine-Grained Control of Text Style Transfer. CoRR abs/1905.12304 (2019) - [i5]Bijue Jia, Jiancheng Lv, Dayiheng Liu:
Deep Learning-Based Automatic Downbeat Tracking: A Brief Review. CoRR abs/1906.03870 (2019) - [i4]Yusen Liu, Dayiheng Liu, Jiancheng Lv:
Deep Poetry: A Chinese Classical Poetry Generation System. CoRR abs/1911.08212 (2019) - 2018
- [c3]Dayiheng Liu, Quan Guo, Wubo Li, Jiancheng Lv:
A Multi-Modal Chinese Poetry Generation Model. IJCNN 2018: 1-8 - [c2]Jing Yin, Qingyu Mao, Dayiheng Liu, Yong Xu, Jiancheng Lv:
Method to Improve the Performance of Restricted Boltzmann Machines. ISNN 2018: 115-123 - [i3]Dayiheng Liu, Jiancheng Lv, Feng He, Yifan Pu:
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation. CoRR abs/1806.08097 (2018) - [i2]Dayiheng Liu, Quan Guo, Wubo Li, Jiancheng Lv:
A Multi-Modal Chinese Poetry Generation Model. CoRR abs/1806.09792 (2018) - [i1]Dayiheng Liu, Jiancheng Lv, Kexin Yang, Qian Qu:
Ancient-Modern Chinese Translation with a Large Training Dataset. CoRR abs/1808.03738 (2018) - 2016
- [c1]Dayiheng Liu, Jian Cheng Lv, Xiaofeng Qi, Jiangshu Wei:
A neural words encoding model. IJCNN 2016: 532-536
Coauthor Index
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