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2020 – today
- 2024
- [c33]Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou:
Synthesizing Text-to-SQL Data from Weak and Strong LLMs. ACL (1) 2024: 7864-7875 - [c32]Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang:
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. ECCV (81) 2024: 19-35 - [c31]Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui:
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? EMNLP 2024: 1531-1555 - [c30]Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou:
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. ICLR 2024 - [c29]Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou:
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. NAACL-HLT 2024: 1964-1974 - [i56]Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang:
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. CoRR abs/2403.06764 (2024) - [i55]Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui:
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? CoRR abs/2406.12809 (2024) - [i54]Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Junyang Lin, Chang Zhou, Wen Xiao, Junjie Hu, Tianyu Liu, Baobao Chang:
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. CoRR abs/2406.14024 (2024) - [i53]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) - [i52]Yunfei Chu, Jin Xu, Qian Yang, Haojie Wei, Xipin Wei, Zhifang Guo, Yichong Leng, Yuanjun Lv, Jinzheng He, Junyang Lin, Chang Zhou, Jingren Zhou:
Qwen2-Audio Technical Report. CoRR abs/2407.10759 (2024) - [i51]Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, Graham Neubig:
OpenDevin: An Open Platform for AI Software Developers as Generalist Agents. CoRR abs/2407.16741 (2024) - [i50]Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou:
Synthesizing Text-to-SQL Data from Weak and Strong LLMs. CoRR abs/2408.03256 (2024) - [i49]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) - [i48]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) - [i47]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) - [i46]Siwei Wu, Jinzheng He, Ruibin Yuan, Haojie Wei, Xipin Wei, Chenghua Lin, Jin Xu, Junyang Lin:
SongTrans: An unified song transcription and alignment method for lyrics and notes. CoRR abs/2409.14619 (2024) - [i45]Wenrui Liu, Zhifang Guo, Jin Xu, Yuanjun Lv, Yunfei Chu, Zhou Zhao, Junyang Lin:
Analyzing and Mitigating Inconsistency in Discrete Audio Tokens for Neural Codec Language Models. CoRR abs/2409.19283 (2024) - [i44]Ke Yi, Zengke Liu, Jianwei Zhang, Chengyuan Li, Tong Zhang, Junyang Lin, Jingren Zhou:
Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference. CoRR abs/2409.20361 (2024) - [i43]Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang:
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation. CoRR abs/2410.01912 (2024) - 2023
- [c28]Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou:
Prompt Tuning for Unified Multimodal Pretrained Models. ACL (Findings) 2023: 402-416 - [c27]Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou:
Transferring General Multimodal Pretrained Models to Text Recognition. ACL (Findings) 2023: 588-597 - [i42]Peng Wang, Shijie Wang
, Junyang Lin, Shuai Bai, Xiaohuan Zhou, Jingren Zhou, Xinggang Wang, Chang Zhou:
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities. CoRR abs/2305.11172 (2023) - [i41]Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao:
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts. CoRR abs/2305.14688 (2023) - [i40]Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou:
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. CoRR abs/2308.07074 (2023) - [i39]Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, Jingren Zhou:
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities. CoRR abs/2308.12966 (2023) - [i38]Shuai Bai, Shusheng Yang, Jinze Bai, Peng Wang, Xingxuan Zhang, Junyang Lin, Xinggang Wang, Chang Zhou, Jingren Zhou:
TouchStone: Evaluating Vision-Language Models by Language Models. CoRR abs/2308.16890 (2023) - [i37]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) - [i36]Shengguang Wu, Keming Lu, Benfeng Xu, Junyang Lin, Qi Su, Chang Zhou:
Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning. CoRR abs/2311.08182 (2023) - [i35]Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou:
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. CoRR abs/2311.08692 (2023) - 2022
- [c26]Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang:
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). ICML 2022: 9226-9259 - [c25]Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. ICML 2022: 23318-23340 - [c24]Zixuan Ma
BaGuaLu: targeting brain scale pretrained models with over 37 million cores. PPoPP 2022: 192-204 - [i34]Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. CoRR abs/2202.03052 (2022) - [i33]Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang:
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). CoRR abs/2203.12221 (2022) - [i32]Yuezihan Jiang, Hao Yang, Junyang Lin, Hanyu Zhao, An Yang, Chang Zhou, Hongxia Yang, Zhi Yang, Bin Cui:
Instance-wise Prompt Tuning for Pretrained Language Models. CoRR abs/2206.01958 (2022) - [i31]Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou, Hongxia Yang:
Prompt Tuning for Generative Multimodal Pretrained Models. CoRR abs/2208.02532 (2022) - [i30]An Yang, Junshu Pan, Junyang Lin, Rui Men, Yichang Zhang, Jingren Zhou, Chang Zhou:
Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese. CoRR abs/2211.01335 (2022) - [i29]Jinze Bai, Rui Men, Hao Yang, Xuancheng Ren, Kai Dang, Yichang Zhang, Xiaohuan Zhou, Peng Wang, Sinan Tan, An Yang, Zeyu Cui, Yu Han, Shuai Bai, Wenbin Ge, Jianxin Ma, Junyang Lin, Jingren Zhou, Chang Zhou:
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models. CoRR abs/2212.04408 (2022) - [i28]Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou:
Transferring General Multimodal Pretrained Models to Text Recognition. CoRR abs/2212.09297 (2022) - 2021
- [c23]Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang:
Learning Relation Alignment for Calibrated Cross-modal Retrieval. ACL/IJCNLP (1) 2021: 514-524 - [c22]Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang:
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. ACL/IJCNLP (Findings) 2021: 4831-4843 - [c21]Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Hongxia Yang, Yi Yang:
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval. CVPR Workshops 2021: 4034-4043 - [c20]Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang:
KNAS: Green Neural Architecture Search. ICML 2021: 11613-11625 - [c19]Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang:
M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. KDD 2021: 3251-3261 - [c18]Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang:
CogView: Mastering Text-to-Image Generation via Transformers. NeurIPS 2021: 19822-19835 - [i27]Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang:
M6: A Chinese Multimodal Pretrainer. CoRR abs/2103.00823 (2021) - [i26]Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang:
CogView: Mastering Text-to-Image Generation via Transformers. CoRR abs/2105.13290 (2021) - [i25]Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang:
Learning Relation Alignment for Calibrated Cross-modal Retrieval. CoRR abs/2105.13868 (2021) - [i24]Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang:
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. CoRR abs/2105.14778 (2021) - [i23]Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Yi Yang, Hongxia Yang:
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval. CoRR abs/2105.14897 (2021) - [i22]An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang:
Exploring Sparse Expert Models and Beyond. CoRR abs/2105.15082 (2021) - [i21]Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang:
M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining. CoRR abs/2110.03888 (2021) - [i20]Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang:
KNAS: Green Neural Architecture Search. CoRR abs/2111.13293 (2021) - 2020
- [j1]Pengcheng Wang
A Gesture Air-Writing Tracking Method that Uses 24 GHz SIMO Radar SoC. IEEE Access 8: 152728-152741 (2020) - [i19]Junyang Lin, An Yang, Yichang Zhang, Jie Liu, Jingren Zhou, Hongxia Yang:
InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining. CoRR abs/2003.13198 (2020) - [i18]Liang Zhao, Jingjing Xu, Junyang Lin, Yichang Zhang, Hongxia Yang, Xu Sun:
Graph-based Multi-hop Reasoning for Long Text Generation. CoRR abs/2009.13282 (2020)
2010 – 2019
- 2019
- [c17]Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun:
Imitation Learning for Non-Autoregressive Neural Machine Translation. ACL (1) 2019: 1304-1312 - [c16]Pengcheng Yang, Fuli Luo, Shuming Ma, Junyang Lin, Xu Sun:
A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification. ACL (1) 2019: 5252-5258 - [c15]Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang:
Towards Knowledge-Based Recommender Dialog System. EMNLP/IJCNLP (1) 2019: 1803-1813 - [c14]Pengcheng Yang, Junyang Lin, Jingjing Xu, Jun Xie, Qi Su, Xu Sun:
Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification. EMNLP/IJCNLP (1) 2019: 5507-5516 - [c13]Qibin Chen
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. KDD 2019: 3040-3050 - [c12]Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, Junyang Lin:
Understanding and Improving Layer Normalization. NeurIPS 2019: 4383-4393 - [i17]Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. CoRR abs/1903.12457 (2019) - [i16]Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun:
Imitation Learning for Non-Autoregressive Neural Machine Translation. CoRR abs/1906.02041 (2019) - [i15]Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang:
Towards Knowledge-Based Recommender Dialog System. CoRR abs/1908.05391 (2019) - [i14]Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, Junyang Lin:
Understanding and Improving Layer Normalization. CoRR abs/1911.07013 (2019) - [i13]Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang, Xuancheng Ren, Qi Su, Xu Sun:
Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection. CoRR abs/1912.11637 (2019) - 2018
- [c11]Junyang Lin, Xu Sun, Shuming Ma, Qi Su:
Global Encoding for Abstractive Summarization. ACL (2) 2018: 163-169 - [c10]Shuming Ma, Xu Sun, Yizhong Wang, Junyang Lin:
Bag-of-Words as Target for Neural Machine Translation. ACL (2) 2018: 332-338 - [c9]Shuming Ma, Xu Sun, Junyang Lin, Houfeng Wang:
Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization. ACL (2) 2018: 725-731 - [c8]Junyang Lin, Xu Sun, Xuancheng Ren, Shuming Ma, Jinsong Su, Qi Su:
Deconvolution-Based Global Decoding for Neural Machine Translation. COLING 2018: 3260-3271 - [c7]Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun:
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation. EMNLP 2018: 702-707 - [c6]Junyang Lin, Xu Sun, Xuancheng Ren, Muyu Li, Qi Su:
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation. EMNLP 2018: 2985-2990 - [c5]Jingjing Xu, Xuancheng Ren, Junyang Lin, Xu Sun:
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation. EMNLP 2018: 3940-3949 - [c4]Junyang Lin, Qi Su, Pengcheng Yang, Shuming Ma, Xu Sun:
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification. EMNLP 2018: 4554-4564 - [c3]Junyang Lin, May-Fang She, Ming-Han Tsai, I-Chen Lin, Yo-Chung Lau, Hsu-Hang Liu:
3D Articulated Model Retrieval Using Depth Image Input. VISIGRAPP (Revised Selected Papers) 2018: 25-47 - [c2]Junyang Lin, May-Fang She, Ming-Han Tsai, I-Chen Lin, Yo-Chung Lau, Hsu-Hang Liu:
Retrieving 3D Objects with Articulated Limbs by Depth Image Input. VISIGRAPP (1: GRAPP) 2018: 101-111 - [c1]Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren:
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification. IJCAI 2018: 4251-4257 - [i12]Jingjing Xu, Xu Sun, Xuancheng Ren, Junyang Lin, Bingzhen Wei, Wei Li:
DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text. CoRR abs/1802.01345 (2018) - [i11]Junyang Lin, Shuming Ma, Qi Su, Xu Sun:
Decoding-History-Based Adaptive Control of Attention for Neural Machine Translation. CoRR abs/1802.01812 (2018) - [i10]Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren:
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification. CoRR abs/1805.01089 (2018) - [i9]Junyang Lin, Xu Sun, Shuming Ma, Qi Su:
Global Encoding for Abstractive Summarization. CoRR abs/1805.03989 (2018) - [i8]Shuming Ma, Xu Sun, Junyang Lin, Houfeng Wang:
Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization. CoRR abs/1805.04869 (2018) - [i7]Shuming Ma, Xu Sun, Yizhong Wang, Junyang Lin:
Bag-of-Words as Target for Neural Machine Translation. CoRR abs/1805.04871 (2018) - [i6]Junyang Lin, Xu Sun, Xuancheng Ren, Shuming Ma, Jinsong Su, Qi Su:
Deconvolution-Based Global Decoding for Neural Machine Translation. CoRR abs/1806.03692 (2018) - [i5]Junyang Lin, Xu Sun, Xuancheng Ren, Muyu Li, Qi Su:
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation. CoRR abs/1808.07374 (2018) - [i4]Junyang Lin, Qi Su, Pengcheng Yang, Shuming Ma, Xu Sun:
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification. CoRR abs/1808.08561 (2018) - [i3]Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun:
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation. CoRR abs/1808.08795 (2018) - [i2]Bingzhen Wei, Junyang Lin:
Future-Prediction-Based Model for Neural Machine Translation. CoRR abs/1809.00336 (2018) - [i1]Pengcheng Yang, Shuming Ma, Yi Zhang, Junyang Lin, Qi Su, Xu Sun:
A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification. CoRR abs/1809.03118 (2018)
Coauthor Index
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