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ORCIDJie Zhou 0016
Person information
- affiliation: Tencent Inc., WeChat AI, Pattern Recognition Center, Beijing, China
- not to be confused with: Jie Zhou 0033
Other persons with the same name
- Jie Zhou — disambiguation page
- Jie Zhou 0001
![[0000-0001-7701-234X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7701-234X")
— Tsinghua University, Department of Automation, Tsinghua National Laboratory for Information Science and Technology, Beijing, China (and 1 more) - Jie Zhou 0002 — Sichuan University, College of Mathematics, Chengdu, China
- Jie Zhou 0003 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Jie Zhou 0004 — Shihezi University, College of Information Science and Technology, China
- Jie Zhou 0005 — Donghua University, School of Sciences, Shanghai, China
- Jie Zhou 0006 — Nanjing University of Information Science and Technology, College of Electronic and Information Engineering, China (and 2 more)
- Jie Zhou 0007 — National University of Defense Technology, College of Computer, Changsha, China
- Jie Zhou 0008 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 2 more)
- Jie Zhou 0009 — Shenzhen University, College of Computer Science and Software Engineering, China (and 1 more)
- Jie Zhou 0010 — University of Science and Technology of China, Hefei, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, China
- Jie Zhou 0011 — North University of China, School of Mechanical Engineering, Taiyuan, Shanxi, China
- Jie Zhou 0012 — Army Engineering University, Department of Mechanical Engineering, Shijiazhuang, China
- Jie Zhou 0013 — Shanghai Jiaotong University, School of Electric Information and Electronic Engineering, China
- Jie Zhou 0014 — Zhejiang University, Department of Precision Medicine and Biopharmaceutics, Hangzhou, China
- Jie Zhou 0015 — East China Normal University, Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China (and 2 more)
- Jie Zhou 0017 — East China Normal University, School of Computer Science and Technology, Shanghai, China
- Jie Zhou 0018 — Shanghai University of Electric Power, School of Automation Engineering, Shanghai, China
- Jie Zhou 0019 — Jiangsu University, School of Automotive and Traffic Engineering, Zhenjiang, China
- Jie Zhou 0020 — Sun Yat-sen University, Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Guangzhou, China
- Jie Zhou 0021 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China (and 1 more)
- Jie Zhou 0022 — University of Rochester, Department of Computer Science, Rochester, NY, USA
- Jie Zhou 0023 — Northern Illinois University, Department of Computer Science, DeKalb, IL, USA (and 1 more)
- Jie Zhou 0024 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Jie Zhou 0025 — Baidu Research, Institute of Deep Learning, Beijing, China
- Jie Zhou 0026 — University of Electronic Science and Technology of China, Center for Advanced Semiconductor and Integrated Micro-System, Chengdu, China
- Jie Zhou 0027 — Harbin Institute of Technology, Department of Electronic Engineering, China
- Jie Zhou 0028 — China Academy of Engineering Physics, CAEP, Institute of Electronic Engineering, China
- Jie Zhou 0029 — City University of Hong Kong, Department of Computer Science, Hong Kong (and 1 more)
- Jie Zhou 0030 — Shanghai University, School of Computer Engineering and Science, China
- Jie Zhou 0031 — National University of Defense Technology, NUDT, School of Electronic Science and Technology, Changsha, China
- Jie Zhou 0032 — National University of Defense Technology, College of Computer, Changsha, China (and 1 more)
- Jie Zhou 0033 — Tencent Inc., WeChat AI, Pattern Recognition Center, Beijing, China
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2020 – today
- 2024
[j22]Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Complex Question Enhanced Transfer Learning for Zero-Shot Joint Information Extraction. IEEE ACM Trans. Audio Speech Lang. Process. 32: 261-275 (2024)- [j21]Koichiro Yoshino, Yun-Nung Chen, Paul A. Crook, Satwik Kottur, Jinchao Li, Behnam Hedayatnia, Seungwhan Moon, Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou, Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Dilek Hakkani-Tur, Babak Damavandi, Alborz Geramifard, Chiori Hori, Ankit Shah, Chen Zhang, Haizhou Li, João Sedoc, Luis F. D'Haro, Rafael E. Banchs, Alexander Rudnicky:
Overview of the Tenth Dialog System Technology Challenge: DSTC10. IEEE ACM Trans. Audio Speech Lang. Process. 32: 765-778 (2024) - [j20]Weize Chen, Xu Han, Yankai Lin, Kaichen He, Ruobing Xie, Jie Zhou, Zhiyuan Liu, Maosong Sun:
Hyperbolic Pre-Trained Language Model. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3101-3112 (2024) - [j19]Yujia Qin, Xiaozhi Wang, Yusheng Su, Yankai Lin, Ning Ding, Jing Yi, Weize Chen, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou:
Exploring Universal Intrinsic Task Subspace for Few-Shot Learning via Prompt Tuning. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3631-3643 (2024) - [j18]Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Decentralized Decoupled Training for Federated Long-Tailed Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j17]Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou:
Triple Sequence Learning for Cross-domain Recommendation. ACM Trans. Inf. Syst. 42(4): 91:1-91:29 (2024) - [c206]Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou:
Generative Multi-Modal Knowledge Retrieval with Large Language Models. AAAI 2024: 18733-18741 - [c205]Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou:
Teaching Large Language Models to Translate with Comparison. AAAI 2024: 19488-19496 - [c204]Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou:
Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models. AAAI 2024: 19560-19568 - [c203]Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. ACL (1) 2024: 133-145 - [c202]Yong Hu, Fandong Meng, Jie Zhou:
CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers. ACL (1) 2024: 146-159 - [c201]Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Plot Retrieval as an Assessment of Abstract Semantic Association. ACL (Student Research Workshop) 2024: 146-161 - [c200]Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin, Xin Cong, Zhong Zhang, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents. ACL (1) 2024: 1088-1113 - [c199]Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou:
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. ACL (1) 2024: 3800-3814 - [c198]Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li:
MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation. ACL (1) 2024: 4072-4091 - [c197]Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Min Zhang, Jinsong Su:
Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation. ACL (Findings) 2024: 5472-5485 - [c196]Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou:
Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions. ACL (1) 2024: 5822-5838 - [c195]Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang:
TasTe: Teaching Large Language Models to Translate through Self-Reflection. ACL (1) 2024: 6144-6158 - [c194]Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective. ACL (Findings) 2024: 7040-7051 - [c193]Xinwei Long, Jiali Zeng, Fandong Meng, Jie Zhou, Bowen Zhou:
Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever. ACL (Findings) 2024: 7559-7569 - [c192]Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. ACL (Findings) 2024: 9201-9214 - [c191]Zengkui Sun, Yijin Liu, Jiaan Wang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
Outdated Issue Aware Decoding for Factual Knowledge Editing. ACL (Findings) 2024: 9282-9293 - [c190]Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou:
Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation. ACL (1) 2024: 10914-10928 - [c189]Yijin Liu, Xianfeng Zeng, Chenze Shao, Fandong Meng, Jie Zhou:
Instruction Position Matters in Sequence Generation with Large Language Models. ACL (Findings) 2024: 11652-11663 - [c188]Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang:
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. LREC/COLING 2024: 4423-4437 - [c187]Liqiang Niu, Fandong Meng, Jie Zhou:
UMTIT: Unifying Recognition, Translation, and Generation for Multimodal Text Image Translation. LREC/COLING 2024: 16953-16972 - [c186]Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. EMNLP 2024: 1437-1454 - [c185]Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou:
On the token distance modeling ability of higher RoPE attention dimension. EMNLP (Findings) 2024: 5877-5888 - [c184]Zhiyuan Zhang, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Enhancing Byzantine-Resistant Aggregations with Client Embedding. EMNLP (Findings) 2024: 5889-5896 - [c183]Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou:
C-LLM: Learn to Check Chinese Spelling Errors Character by Character. EMNLP 2024: 5944-5957 - [c182]Liyan Xu, Zhenlin Su, Mo Yu, Jin Xu, Jinho D. Choi, Jie Zhou, Fei Liu:
Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy. EMNLP (Findings) 2024: 14626-14641 - [c181]Yao Qiu, Jinchao Zhang, Yong Shan, Jie Zhou:
Enhancing Note-Level Singing Transcription Model with Unlabeled and Weakly Labeled Data. ICASSP 2024: 341-345 - [c180]Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors. ICLR 2024 - [c179]Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun:
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. ICLR 2024 - [c178]Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun:
Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs. ICLR 2024 - [c177]Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang:
Large Language Models Are Not Robust Multiple Choice Selectors. ICLR 2024 - [c176]Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou:
Language Generation with Strictly Proper Scoring Rules. ICML 2024 - [c175]Mo Yu, Qiujing Wang, Shunchi Zhang, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Liyan Xu, Jing Li, Yue Yu, Jie Zhou:
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind. ICML 2024 - [c174]Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Exploring the Benefit of Activation Sparsity in Pre-training. ICML 2024 - [c173]Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng:
On Prompt-Driven Safeguarding for Large Language Models. ICML 2024 - [c172]Chao Hu, Yitian Chai, Hao Zhou, Fandong Meng, Jie Zhou, Xiaodong Gu:
How Effectively Do Code Language Models Understand Poor-Readability Code? ASE 2024: 795-806 - [c171]Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou:
On Large Language Models' Hallucination with Regard to Known Facts. NAACL-HLT 2024: 1041-1053 - [c170]Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou, Yue Zhang:
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners. NAACL-HLT 2024: 6676-6698 - [i230]Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou:
Generative Multi-Modal Knowledge Retrieval with Large Language Models. CoRR abs/2401.08206 (2024) - [i229]Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng:
Prompt-Driven LLM Safeguarding via Directed Representation Optimization. CoRR abs/2401.18018 (2024) - [i228]Jiangnan Li, Qiujing Wang, Liyan Xu, Wenjie Pang, Mo Yu, Zheng Lin, Weiping Wang, Jie Zhou:
Previously on the Stories: Recap Snippet Identification for Story Reading. CoRR abs/2402.07271 (2024) - [i227]Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin, Xin Cong, Zhong Zhang, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents. CoRR abs/2402.09205 (2024) - [i226]Wenkai Yang, Xiaohan Bi, Yankai Lin, Sishuo Chen, Jie Zhou, Xu Sun:
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents. CoRR abs/2402.11208 (2024) - [i225]Liyan Xu, Zhenlin Su, Mo Yu, Jin Xu, Jinho D. Choi, Jie Zhou, Fei Liu:
Identifying Factual Inconsistency in Summaries: Towards Effective Utilization of Large Language Model. CoRR abs/2402.12821 (2024) - [i224]Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou:
Graph Representation of Narrative Context: Coherence Dependency via Retrospective Questions. CoRR abs/2402.13551 (2024) - [i223]Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. CoRR abs/2402.18150 (2024) - [i222]Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. CoRR abs/2402.19085 (2024) - [i221]Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou:
On Large Language Models' Hallucination with Regard to Known Facts. CoRR abs/2403.20009 (2024) - [i220]Shengding Hu, Yuge Tu, Xu Han, Chaoqun He, Ganqu Cui, Xiang Long, Zhi Zheng, Yewei Fang, Yuxiang Huang, Weilin Zhao, Xinrong Zhang, Zhen Leng Thai, Kai Zhang, Chongyi Wang, Yuan Yao, Chenyang Zhao, Jie Zhou, Jie Cai, Zhongwu Zhai, Ning Ding, Chao Jia, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun:
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies. CoRR abs/2404.06395 (2024) - [i219]Yijin Liu, Fandong Meng, Jie Zhou:
Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy. CoRR abs/2404.06954 (2024) - [i218]Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective. CoRR abs/2404.07549 (2024) - [i217]Yuan Liu, Le Tian, Xiao Zhou, Jie Zhou:
Rethinking Overlooked Aspects in Vision-Language Models. CoRR abs/2405.11850 (2024) - [i216]Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou:
Language Generation with Strictly Proper Scoring Rules. CoRR abs/2405.18906 (2024) - [i215]Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou:
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. CoRR abs/2405.18922 (2024) - [i214]Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. CoRR abs/2406.02876 (2024) - [i213]Zengkui Sun, Yijin Liu, Jiaan Wang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
Outdated Issue Aware Decoding for Reasoning Questions on Edited Knowledge. CoRR abs/2406.02882 (2024) - [i212]Ning Cheng, Changhao Guan, Jing Gao, Weihao Wang, You Li, Fandong Meng, Jie Zhou, Bin Fang, Jinan Xu, Wenjuan Han:
Touch100k: A Large-Scale Touch-Language-Vision Dataset for Touch-Centric Multimodal Representation. CoRR abs/2406.03813 (2024) - [i211]Jiangnan Li, Zheng Lin, Lanrui Wang, Qingyi Si, Yanan Cao, Mo Yu, Peng Fu, Weiping Wang, Jie Zhou:
Think out Loud: Emotion Deducing Explanation in Dialogues. CoRR abs/2406.04758 (2024) - [i210]Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang:
TasTe: Teaching Large Language Models to Translate through Self-Reflection. CoRR abs/2406.08434 (2024) - [i209]Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
Multilingual Knowledge Editing with Language-Agnostic Factual Neurons. CoRR abs/2406.16416 (2024) - [i208]Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou:
C-LLM: Learn to Check Chinese Spelling Errors Character by Character. CoRR abs/2406.16536 (2024) - [i207]Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Min Zhang, Jinsong Su:
Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation. CoRR abs/2407.02894 (2024) - [i206]Yiran Yang, Jinchao Zhang, Ying Deng, Jie Zhou:
Mobius: A High Efficient Spatial-Temporal Parallel Training Paradigm for Text-to-Video Generation Task. CoRR abs/2407.06617 (2024) - [i205]Chenze Shao, Fandong Meng, Jie Zhou:
Patch-Level Training for Large Language Models. CoRR abs/2407.12665 (2024) - [i204]Yijie Chen, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
Beyond Binary Gender: Evaluating Gender-Inclusive Machine Translation with Ambiguous Attitude Words. CoRR abs/2407.16266 (2024) - [i203]Yuan Yao, Tianyu Yu, Ao Zhang, Chongyi Wang, Junbo Cui, Hongji Zhu, Tianchi Cai, Haoyu Li, Weilin Zhao, Zhihui He, Qianyu Chen, Huarong Zhou, Zhensheng Zou, Haoye Zhang, Shengding Hu, Zhi Zheng, Jie Zhou, Jie Cai, Xu Han, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun:
MiniCPM-V: A GPT-4V Level MLLM on Your Phone. CoRR abs/2408.01800 (2024) - [i202]Yuan Liu, Zhongyin Zhao, Ziyuan Zhuang, Le Tian, Xiao Zhou, Jie Zhou:
POINTS: Improving Your Vision-language Model with Affordable Strategies. CoRR abs/2409.04828 (2024) - [i201]Siheng Li, Cheng Yang, Taiqiang Wu, Chufan Shi, Yuji Zhang, Xinyu Zhu, Zesen Cheng, Deng Cai, Mo Yu, Lemao Liu, Jie Zhou, Yujiu Yang, Ngai Wong, Xixin Wu, Wai Lam:
A Survey on the Honesty of Large Language Models. CoRR abs/2409.18786 (2024) - [i200]Wenchao Chen, Liqiang Niu, Ziyao Lu, Fandong Meng, Jie Zhou:
MaskMamba: A Hybrid Mamba-Transformer Model for Masked Image Generation. CoRR abs/2409.19937 (2024) - [i199]Zhibin Lan, Liqiang Niu, Fandong Meng, Wenbo Li, Jie Zhou, Jinsong Su:
AVG-LLaVA: A Large Multimodal Model with Adaptive Visual Granularity. CoRR abs/2410.02745 (2024) - [i198]Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Exploring the Benefit of Activation Sparsity in Pre-training. CoRR abs/2410.03440 (2024) - [i197]Ranchi Zhao, Zhen Leng Thai, Yifan Zhang, Shengding Hu, Yunqi Ba, Jie Zhou, Jie Cai, Zhiyuan Liu, Maosong Sun:
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models. CoRR abs/2410.05639 (2024) - [i196]Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou, Min Zhang:
DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory. CoRR abs/2410.08143 (2024) - [i195]Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou:
On the token distance modeling ability of higher RoPE attention dimension. CoRR abs/2410.08703 (2024) - [i194]Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang:
MiniPLM: Knowledge Distillation for Pre-Training Language Models. CoRR abs/2410.17215 (2024) - [i193]Zhiwei Zhang, Shaojun E, Fandong Meng, Jie Zhou, Wenjuan Han:
Extralonger: Toward a Unified Perspective of Spatial-Temporal Factors for Extra-Long-Term Traffic Forecasting. CoRR abs/2411.00844 (2024) - [i192]Chaojun Xiao, Jie Cai, Weilin Zhao, Guoyang Zeng, Biyuan Lin, Jie Zhou, Zhi Zheng, Xu Han, Zhiyuan Liu, Maosong Sun:
Densing Law of LLMs. CoRR abs/2412.04315 (2024) - [i191]Jiaan Wang, Fandong Meng, Yingxue Zhang, Jie Zhou:
Retrieval-Augmented Machine Translation with Unstructured Knowledge. CoRR abs/2412.04342 (2024) - 2023
- [j16]Yongjing Yin, Jiali Zeng, Jinsong Su, Chulun Zhou, Fandong Meng, Jie Zhou, Degen Huang, Jiebo Luo:
Multi-modal graph contrastive encoding for neural machine translation. Artif. Intell. 323: 103986 (2023) - [j15]Chulun Zhou, Yunlong Liang, Fandong Meng, Jie Zhou, Jinan Xu, Hongji Wang, Min Zhang, Jinsong Su:
A Multi-Task Multi-Stage Transitional Training Framework for Neural Chat Translation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 7970-7985 (2023) - [j14]Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j13]Jiarui Fang, Zilin Zhu, Shenggui Li, Hui Su, Yang Yu, Jie Zhou, Yang You:
Parallel Training of Pre-Trained Models via Chunk-Based Dynamic Memory Management. IEEE Trans. Parallel Distributed Syst. 34(1): 304-315 (2023) - [c169]Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng:
Rephrasing the Reference for Non-autoregressive Machine Translation. AAAI 2023: 13538-13546 - [c168]Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang:
Consistency Regularization Training for Compositional Generalization. ACL (1) 2023: 1294-1308 - [c167]Zhen Yang, Fandong Meng, Yuanmeng Yan, Jie Zhou:
Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement. ACL (Findings) 2023: 2012-2025 - [c166]Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias. ACL (Findings) 2023: 2495-2517 - [c165]Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou:
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization. ACL (1) 2023: 2934-2951 - [c164]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Emergent Modularity in Pre-trained Transformers. ACL (Findings) 2023: 4066-4083 - [c163]Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou:
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension. ACL (Findings) 2023: 4956-4968 - [c162]Jiali Zeng, Yufan Jiang, Yongjing Yin, Yi Jing, Fandong Meng, Binghuai Lin, Yunbo Cao, Jie Zhou:
Soft Language Clustering for Multilingual Model Pre-training. ACL (1) 2023: 7021-7035 - [c161]Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou:
WebCPM: Interactive Web Search for Chinese Long-form Question Answering. ACL (1) 2023: 8968-8988 - [c160]Weize Chen, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning. ACL (Findings) 2023: 10400-10420 - [c159]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Plug-and-Play Knowledge Injection for Pre-trained Language Models. ACL (1) 2023: 10641-10658 - [c158]Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Recyclable Tuning for Continual Pre-training. ACL (Findings) 2023: 11403-11426 - [c157]Chulun Zhou, Yunlong Liang, Fandong Meng, Jinan Xu, Jinsong Su, Jie Zhou:
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training. ACL (Findings) 2023: 11747-11762 - [c156]Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Xiao Zhou, Fandong Meng, Jie Zhou:
Personality Understanding of Fictional Characters during Book Reading. ACL (1) 2023: 14784-14802 - [c155]Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou:
Towards Unifying Multi-Lingual and Cross-Lingual Summarization. ACL (1) 2023: 15127-15143 - [c154]Siheng Li, Wangjie Jiang, Pengda Si, Cheng Yang, Yao Qiu, Jinchao Zhang, Jie Zhou, Yujiu Yang:
Enhancing Dialogue Generation with Conversational Concept Flows. EACL (Findings) 2023: 1484-1495 - [c153]Jiaan Wang, Fandong Meng, Yunlong Liang, Tingyi Zhang, Jiarong Xu, Zhixu Li, Jie Zhou:
Understanding Translationese in Cross-Lingual Summarization. EMNLP (Findings) 2023: 3837-3849 - [c152]Liang Zhang, Chulun Zhou, Fandong Meng, Jinsong Su, Yidong Chen, Jie Zhou:
HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction. EMNLP 2023: 6213-6223 - [c151]Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou, Yue Zhang:
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information. EMNLP (Findings) 2023: 7563-7571 - [c150]Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning. EMNLP 2023: 9840-9855 - [c149]Jiaxin Wen, Hao Zhou, Jian Guan, Jie Zhou, Minlie Huang:
Re³Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training. EMNLP 2023: 9878-9894 - [c148]Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. EMNLP (Findings) 2023: 9947-9959 - [c147]Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. EMNLP (Findings) 2023: 11052-11067 - [c146]Yuanxi Li, Hao Zhou, Jie Zhou, Minlie Huang:
Multi-Source Probing for Open-Domain Conversational Understanding. EMNLP 2023: 12491-12505 - [c145]Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou:
D²TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization. EMNLP (Findings) 2023: 14910-14922 - [c144]Yao Qiu, Jinchao Zhang, Huiying Ren, Yong Shan, Jie Zhou:
Humming2Music: Being A Composer As Long As You Can Humming. IJCAI 2023: 7163-7166 - [c143]Yong Shan, Jinchao Zhang, Huiying Ren, Yao Qiu, Jie Zhou:
LingGe: An Automatic Ancient Chinese Poem-to-Song Generation System. IJCAI 2023: 7171-7174 - [c142]Yifan Dong, Suhang Wu, Fandong Meng, Jie Zhou, Xiaoli Wang, Jianxin Lin, Jinsong Su:
Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering. ACM Multimedia 2023: 3897-3907 - [c141]Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense. NeurIPS 2023 - [c140]Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou:
Exploring False Hard Negative Sample in Cross-Domain Recommendation. RecSys 2023: 502-514 - [c139]Rui Ding, Ruobing Xie, Xiaobo Hao, Xiaochun Yang, Kaikai Ge, Xu Zhang, Jie Zhou, Leyu Lin:
Interpretable User Retention Modeling in Recommendation. RecSys 2023: 702-708 - [c138]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. SIGIR 2023: 1811-1815 - [i190]Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning. CoRR abs/2301.10394 (2023) - [i189]Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. CoRR abs/2301.10400 (2023) - [i188]Chulun Zhou, Yunlong Liang, Fandong Meng, Jie Zhou, Jinan Xu, Hongji Wang, Min Zhang, Jinsong Su:
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation. CoRR abs/2301.11749 (2023) - [i187]Jiaan Wang, Yunlong Liang, Fandong Meng, Zhixu Li, Jianfeng Qu, Jie Zhou:
Cross-Lingual Summarization via ChatGPT. CoRR abs/2302.14229 (2023) - [i186]Jiaan Wang, Yunlong Liang, Fandong Meng, Haoxiang Shi, Zhixu Li, Jinan Xu, Jianfeng Qu, Jie Zhou:
Is ChatGPT a Good NLG Evaluator? A Preliminary Study. CoRR abs/2303.04048 (2023) - [i185]Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou:
Triple Sequence Learning for Cross-domain Recommendation. CoRR abs/2304.05027 (2023) - [i184]Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou:
Unified Model Learning for Various Neural Machine Translation. CoRR abs/2305.02777 (2023) - [i183]Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou:
BranchNorm: Robustly Scaling Extremely Deep Transformers. CoRR abs/2305.02790 (2023) - [i182]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. CoRR abs/2305.03995 (2023) - [i181]Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias. CoRR abs/2305.04547 (2023) - [i180]Yun Luo, Zhen Yang, Xuefeng Bai, Fandong Meng, Jie Zhou, Yue Zhang:
Investigating Forgetting in Pre-Trained Representations Through Continual Learning. CoRR abs/2305.05968 (2023) - [i179]Mingliang Zhang, Zhen Cao, Juntao Liu, Liqiang Niu, Fandong Meng, Jie Zhou:
WeLayout: WeChat Layout Analysis System for the ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents. CoRR abs/2305.06553 (2023) - [i178]Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou:
WebCPM: Interactive Web Search for Chinese Long-form Question Answering. CoRR abs/2305.06849 (2023) - [i177]Chulun Zhou, Yunlong Liang, Fandong Meng, Jinan Xu, Jinsong Su, Jie Zhou:
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training. CoRR abs/2305.07927 (2023) - [i176]Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Recyclable Tuning for Continual Pre-training. CoRR abs/2305.08702 (2023) - [i175]Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou:
Towards Unifying Multi-Lingual and Cross-Lingual Summarization. CoRR abs/2305.09220 (2023) - [i174]Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Xiao Zhou, Fandong Meng, Jie Zhou:
Personality Understanding of Fictional Characters during Book Reading. CoRR abs/2305.10156 (2023) - [i173]Yun Luo, Xiaotian Lin, Zhen Yang, Fandong Meng, Jie Zhou, Yue Zhang:
Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion. CoRR abs/2305.12270 (2023) - [i172]Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou:
D2TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization. CoRR abs/2305.12767 (2023) - [i171]Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning. CoRR abs/2305.14160 (2023) - [i170]Weize Chen, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning. CoRR abs/2305.17670 (2023) - [i169]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Plug-and-Play Knowledge Injection for Pre-trained Language Models. CoRR abs/2305.17691 (2023) - [i168]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Emergent Modularity in Pre-trained Transformers. CoRR abs/2305.18390 (2023) - [i167]Jiali Zeng, Yufan Jiang, Yongjing Yin, Yi Jing, Fandong Meng, Binghuai Lin, Yunbo Cao, Jie Zhou:
Soft Language Clustering for Multilingual Model Pre-training. CoRR abs/2306.07610 (2023) - [i166]Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou:
TIM: Teaching Large Language Models to Translate with Comparison. CoRR abs/2307.04408 (2023) - [i165]Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun:
Towards Codable Text Watermarking for Large Language Models. CoRR abs/2307.15992 (2023) - [i164]Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun:
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. CoRR abs/2307.16789 (2023) - [i163]Xianfeng Zeng, Yijin Liu, Fandong Meng, Jie Zhou:
Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation. CoRR abs/2308.03131 (2023) - [i162]Yun Luo, Zhen Yang, Fandong Meng, Yafu Li, Jie Zhou, Yue Zhang:
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning. CoRR abs/2308.08747 (2023) - [i161]Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chen Qian, Chi-Min Chan, Yujia Qin, Yaxi Lu, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents. CoRR abs/2308.10848 (2023) - [i160]Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou:
Instruction Position Matters in Sequence Generation with Large Language Models. CoRR abs/2308.12097 (2023) - [i159]Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Improving Translation Faithfulness of Large Language Models via Augmenting Instructions. CoRR abs/2308.12674 (2023) - [i158]Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang:
Large Language Models Are Not Robust Multiple Choice Selectors. CoRR abs/2309.03882 (2023) - [i157]Yifan Dong, Suhang Wu, Fandong Meng, Jie Zhou, Xiaoli Wang, Jianxin Lin, Jinsong Su:
Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering. CoRR abs/2309.04734 (2023) - [i156]Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou, Yue Zhang:
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information. CoRR abs/2310.05073 (2023) - [i155]Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou, Yue Zhang:
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners. CoRR abs/2310.05502 (2023) - [i154]Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. CoRR abs/2310.12818 (2023) - [i153]Zekai Qu, Ruobing Xie, Chaojun Xiao, Yuan Yao, Zhiyuan Liu, Fengzong Lian, Zhanhui Kang, Jie Zhou:
Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language. CoRR abs/2310.13540 (2023) - [i152]Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. CoRR abs/2310.15724 (2023) - [i151]Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Plot Retrieval as an Assessment of Abstract Semantic Association. CoRR abs/2311.01666 (2023) - [i150]Wenqi Sun, Ruobing Xie, Shuqing Bian, Wayne Xin Zhao, Jie Zhou:
Universal Multi-modal Multi-domain Pre-trained Recommendation. CoRR abs/2311.01831 (2023) - [i149]Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou:
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding. CoRR abs/2311.02851 (2023) - [i148]Zhen Yang, Yingxue Zhang, Fandong Meng, Jie Zhou:
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models. CoRR abs/2311.04589 (2023) - [i147]Yi Liu, Lianzhe Huang, Shicheng Li, Sishuo Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge. CoRR abs/2311.08147 (2023) - [i146]Kunting Li, Yong Hu, Shaolei Wang, Hanhan Ma, Liang He, Fandong Meng, Jie Zhou:
Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction. CoRR abs/2311.08219 (2023) - [i145]Wenkai Yang, Yankai Lin, Jie Zhou, Jirong Wen:
Enabling Large Language Models to Learn from Rules. CoRR abs/2311.08883 (2023) - [i144]Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li:
MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation. CoRR abs/2311.09105 (2023) - 2022
- [j12]Yunlong Liang, Fandong Meng, Ying Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
Emotional conversation generation with heterogeneous graph neural network. Artif. Intell. 308: 103714 (2022) - [j11]Ying Zhang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
MKGN: A Multi-Dimensional Knowledge Enhanced Graph Network for Multi-Hop Question and Answering. IEICE Trans. Inf. Syst. 105-D(4): 807-819 (2022) - [j10]Liang Ma, Jie Zhou, Bintai Xu, Youxiang Zhu, Yingjie Jiang:
State scheduling method of redundant nodes in power communication network based on least square method. Int. J. Auton. Adapt. Commun. Syst. 15(3): 185-201 (2022) - [j9]Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou:
A Survey on Cross-Lingual Summarization. Trans. Assoc. Comput. Linguistics 10: 1304-1323 (2022) - [c137]Jie Zhou, Le Tian, Houjin Yu, Xiao Zhou, Hui Su, Jie Zhou:
Dual Context-Guided Continuous Prompt Tuning for Few-Shot Learning. ACL (Findings) 2022: 79-84 - [c136]Xu Han, Guoyang Zeng, Weilin Zhao, Zhiyuan Liu, Zhengyan Zhang, Jie Zhou, Jun Zhang, Jia Chao, Maosong Sun:
BMInf: An Efficient Toolkit for Big Model Inference and Tuning. ACL (demo) 2022: 224-230 - [c135]Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts. ACL (Findings) 2022: 877-890 - [c134]Hui Su, Weiwei Shi, Xiaoyu Shen, Xiao Zhou, Tuo Ji, Jiarui Fang, Jie Zhou:
RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining. ACL (1) 2022: 921-931 - [c133]Yunlong Liang, Fandong Meng, Chulun Zhou, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou:
A Variational Hierarchical Model for Neural Cross-Lingual Summarization. ACL (1) 2022: 2088-2099 - [c132]Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang:
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. ACL (1) 2022: 2306-2319 - [c131]Songming Zhang, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jian Liu, Jie Zhou:
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. ACL (1) 2022: 2377-2389 - [c130]Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
MSCTD: A Multimodal Sentiment Chat Translation Dataset. ACL (1) 2022: 2601-2613 - [c129]Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
ELLE: Efficient Lifelong Pre-training for Emerging Data. ACL (Findings) 2022: 2789-2810 - [c128]Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su:
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation. ACL (1) 2022: 2878-2889 - [c127]Zhexin Zhang, Yeshuang Zhu, Zhengcong Fei, Jinchao Zhang, Jie Zhou:
Selecting Stickers in Open-Domain Dialogue through Multitask Learning. ACL (Findings) 2022: 3053-3060 - [c126]Xin Lv, Yankai Lin, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou:
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach. ACL (Findings) 2022: 3570-3581 - [c125]Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
Scheduled Multi-task Learning for Neural Chat Translation. ACL (1) 2022: 4375-4388 - [c124]Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Fully Hyperbolic Neural Networks. ACL (1) 2022: 5672-5686 - [c123]Yulin Xu, Zhen Yang, Fandong Meng, Jie Zhou:
EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation. ACL (1) 2022: 8141-8153 - [c122]Chenxu Yang, Zheng Lin, Jiangnan Li, Fandong Meng, Weiping Wang, Lanrui Wang, Jie Zhou:
TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation. COLING 2022: 253-265 - [c121]Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models. COLING 2022: 4965-4975 - [c120]Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang:
Categorizing Semantic Representations for Neural Machine Translation. COLING 2022: 5227-5239 - [c119]Duzhen Zhang, Zhen Yang, Fandong Meng, Xiuyi Chen, Jie Zhou:
TSAM: A Two-Stream Attention Model for Causal Emotion Entailment. COLING 2022: 6762-6772 - [c118]Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou:
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. EMNLP 2022: 926-941 - [c117]Jiao Ou, Jinchao Zhang, Yang Feng, Jie Zhou:
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues. EMNLP 2022: 1635-1648 - [c116]Jiaxin Wen, Yeshuang Zhu, Jinchao Zhang, Jie Zhou, Minlie Huang:
AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning. EMNLP (Findings) 2022: 2302-2317 - [c115]Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang:
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. EMNLP 2022: 2886-2897 - [c114]Jing Yi, Weize Chen, Yujia Qin, Yankai Lin, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning. EMNLP (Findings) 2022: 3348-3366 - [c113]Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA. EMNLP (Findings) 2022: 3698-3712 - [c112]Siyu Lai, Zhen Yang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment. EMNLP 2022: 3715-3725 - [c111]Lanrui Wang, Jiangnan Li, Zheng Lin, Fandong Meng, Chenxu Yang, Weiping Wang, Jie Zhou:
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection. EMNLP (Findings) 2022: 4634-4645 - [c110]Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li, Jie Zhou:
WeTS: A Benchmark for Translation Suggestion. EMNLP 2022: 5278-5290 - [c109]Hui Jiang, Ziyao Lu, Fandong Meng, Chulun Zhou, Jie Zhou, Degen Huang, Jinsong Su:
Towards Robust k-Nearest-Neighbor Machine Translation. EMNLP 2022: 5468-5477 - [c108]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. EMNLP (Findings) 2022: 6391-6402 - [c107]Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning. EMNLP (Findings) 2022: 6650-6662 - [c106]Yujia Qin, Cheng Qian, Jing Yi, Weize Chen, Yankai Lin, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Exploring Mode Connectivity for Pre-trained Language Models. EMNLP 2022: 6726-6746 - [c105]Jiaan Wang, Fandong Meng, Ziyao Lu, Duo Zheng, Zhixu Li, Jianfeng Qu, Jie Zhou:
ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization. EMNLP 2022: 7716-7729 - [c104]Jianhao Yan, Chenming Wu, Fandong Meng, Jie Zhou:
Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space. EMNLP 2022: 12067-12085 - [c103]Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification. IJCAI 2022: 2852-2858 - [c102]Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge. IJCAI 2022: 4209-4215 - [c101]Peixiang Luo, Jinchao Zhang, Jie Zhou:
High-Resolution and Arbitrary-Sized Chinese Landscape Painting Creation Based on Generative Adversarial Networks. IJCAI 2022: 5015-5018 - [c100]Xueyao Zhang, Jinchao Zhang, Yao Qiu, Li Wang, Jie Zhou:
Structure-Enhanced Pop Music Generation via Harmony-Aware Learning. ACM Multimedia 2022: 1204-1213 - [c99]Duo Zheng, Fandong Meng, Qingyi Si, Hairun Fan, Zipeng Xu, Jie Zhou, Fangxiang Feng, Xiaojie Wang:
Visual Dialog for Spotting the Differences between Pairs of Similar Images. ACM Multimedia 2022: 5698-5709 - [c98]Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, Yusheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Knowledge Inheritance for Pre-trained Language Models. NAACL-HLT 2022: 3921-3937 - [c97]Yusheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Huadong Wang, Kaiyue Wen, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou:
On Transferability of Prompt Tuning for Natural Language Processing. NAACL-HLT 2022: 3949-3969 - [c96]Siyu Lai, Zhen Yang, Fandong Meng, Xue Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation. NAACL-HLT 2022: 4256-4266 - [c95]Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training. NAACL-HLT 2022: 5840-5857 - [c94]Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models. NeurIPS 2022 - [c93]Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li, Jie Zhou:
Findings of the WMT 2022 Shared Task on Translation Suggestion. WMT 2022: 821-829 - [c92]Ernan Li, Fandong Meng, Jie Zhou:
Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task. WMT 2022: 920-924 - [c91]Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
BJTU-WeChat's Systems for the WMT22 Chat Translation Task. WMT 2022: 955-961 - [i143]Yong Shan, Jinchao Zhang, Zekang Li, Yang Feng, Jie Zhou:
Mental Health Assessment for the Chatbots. CoRR abs/2201.05382 (2022) - [i142]Jiaan Wang, Fandong Meng, Ziyao Lu, Duo Zheng, Zhixu Li, Jianfeng Qu, Jie Zhou:
ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization. CoRR abs/2202.05599 (2022) - [i141]Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
MSCTD: A Multimodal Sentiment Chat Translation Dataset. CoRR abs/2202.13645 (2022) - [i140]Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su:
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation. CoRR abs/2202.13663 (2022) - [i139]Duzhen Zhang, Zhen Yang, Fandong Meng, Xiuyi Chen, Jie Zhou:
TSAM: A Two-Stream Attention Model for Causal Emotion Entailment. CoRR abs/2203.00819 (2022) - [i138]Yulin Xu, Zhen Yang, Fandong Meng, Jie Zhou:
EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation. CoRR abs/2203.02180 (2022) - [i137]Songming Zhang, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jian Liu, Jie Zhou:
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. CoRR abs/2203.02951 (2022) - [i136]Leyang Cui, Fandong Meng, Yijin Liu, Jie Zhou, Yue Zhang:
Towards Robust Online Dialogue Response Generation. CoRR abs/2203.03168 (2022) - [i135]Yunlong Liang, Fandong Meng, Chulun Zhou, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou:
A Variational Hierarchical Model for Neural Cross-Lingual Summarization. CoRR abs/2203.03820 (2022) - [i134]Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
ELLE: Efficient Lifelong Pre-training for Emerging Data. CoRR abs/2203.06311 (2022) - [i133]Duo Zheng, Fandong Meng, Qingyi Si, Hairun Fan, Zipeng Xu, Jie Zhou, Fangxiang Feng, Xiaojie Wang:
Spot the Difference: A Cooperative Object-Referring Game in Non-Perfectly Co-Observable Scene. CoRR abs/2203.08362 (2022) - [i132]Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou:
A Survey on Cross-Lingual Summarization. CoRR abs/2203.12515 (2022) - [i131]Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang:
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. CoRR abs/2204.00862 (2022) - [i130]Siyu Lai, Zhen Yang, Fandong Meng, Xue Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation. CoRR abs/2204.08689 (2022) - [i129]Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training. CoRR abs/2204.11218 (2022) - [i128]Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge. CoRR abs/2205.00759 (2022) - [i127]Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
Scheduled Multi-task Learning for Neural Chat Translation. CoRR abs/2205.03766 (2022) - [i126]Jianhao Yan, Fandong Meng, Jie Zhou:
Probing Causes of Hallucinations in Neural Machine Translations. CoRR abs/2206.12529 (2022) - [i125]Ryuichi Takanobu, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Minlie Huang:
Manual-Guided Dialogue for Flexible Conversational Agents. CoRR abs/2208.07597 (2022) - [i124]Zhen Yang, Fandong Meng, Yuanmeng Yan, Jie Zhou:
Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement. CoRR abs/2209.05695 (2022) - [i123]Zhexin Zhang, Yeshuang Zhu, Zhengcong Fei, Jinchao Zhang, Jie Zhou:
Selecting Stickers in Open-Domain Dialogue through Multitask Learning. CoRR abs/2209.07697 (2022) - [i122]Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models. CoRR abs/2209.09401 (2022) - [i121]Hui Su, Xiao Zhou, Houjin Yu, Yuwen Chen, Zilin Zhu, Yang Yu, Jie Zhou:
WeLM: A Well-Read Pre-trained Language Model for Chinese. CoRR abs/2209.10372 (2022) - [i120]Siyu Lai, Zhen Yang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment. CoRR abs/2210.04141 (2022) - [i119]Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning. CoRR abs/2210.04563 (2022) - [i118]Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA. CoRR abs/2210.04692 (2022) - [i117]Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models. CoRR abs/2210.05211 (2022) - [i116]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. CoRR abs/2210.05230 (2022) - [i115]Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang:
Categorizing Semantic Representations for Neural Machine Translation. CoRR abs/2210.06709 (2022) - [i114]Hui Jiang, Ziyao Lu, Fandong Meng, Chulun Zhou, Jie Zhou, Degen Huang, Jinsong Su:
Towards Robust k-Nearest-Neighbor Machine Translation. CoRR abs/2210.08808 (2022) - [i113]Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang:
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. CoRR abs/2210.09658 (2022) - [i112]Lanrui Wang, Jiangnan Li, Zheng Lin, Fandong Meng, Chenxu Yang, Weiping Wang, Jie Zhou:
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection. CoRR abs/2210.11715 (2022) - [i111]Jing Yi, Weize Chen, Yujia Qin, Yankai Lin, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning. CoRR abs/2210.13311 (2022) - [i110]Yujia Qin, Cheng Qian, Jing Yi, Weize Chen, Yankai Lin, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Exploring Mode Connectivity for Pre-trained Language Models. CoRR abs/2210.14102 (2022) - [i109]Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou:
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension. CoRR abs/2210.14456 (2022) - [i108]Jiao Ou, Jinchao Zhang, Yang Feng, Jie Zhou:
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues. CoRR abs/2210.16838 (2022) - [i107]Mo Yu, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Jing Li, Yue Yu, Jie Zhou:
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind. CoRR abs/2211.04684 (2022) - [i106]Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou:
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. CoRR abs/2211.07342 (2022) - [i105]Yong Hu, Fandong Meng, Jie Zhou:
CSCD-IME: Correcting Spelling Errors Generated by Pinyin IME. CoRR abs/2211.08788 (2022) - [i104]Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou:
BJTU-WeChat's Systems for the WMT22 Chat Translation Task. CoRR abs/2211.15009 (2022) - [i103]Ernan Li, Fandong Meng, Jie Zhou:
Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task. CoRR abs/2211.15022 (2022) - [i102]Jiaxin Wen, Yeshuang Zhu, Jinchao Zhang, Jie Zhou, Minlie Huang:
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning. CoRR abs/2211.16202 (2022) - [i101]Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li, Jie Zhou:
Findings of the WMT 2022 Shared Task on Translation Suggestion. CoRR abs/2211.16717 (2022) - [i100]Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng:
Rephrasing the Reference for Non-Autoregressive Machine Translation. CoRR abs/2211.16863 (2022) - [i99]Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang:
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. CoRR abs/2212.04205 (2022) - [i98]Jiaan Wang, Fandong Meng, Tingyi Zhang, Yunlong Liang, Jiarong Xu, Zhixu Li, Jie Zhou:
Understanding Translationese in Cross-Lingual Summarization. CoRR abs/2212.07220 (2022) - [i97]Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou:
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization. CoRR abs/2212.07672 (2022) - 2021
- [j8]Yusheng Su, Xu Han, Zhengyan Zhang, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, Maosong Sun:
CokeBERT: Contextual knowledge selection and embedding towards enhanced pre-trained language models. AI Open 2: 127-134 (2021) - [j7]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou:
Sequence-Level Training for Non-Autoregressive Neural Machine Translation. Comput. Linguistics 47(4): 891-925 (2021) - [j6]Jie Zhou, Yingjie Jiang, Bintai Xu, Liang Ma, Xinquan Lv:
Research on protection of vulnerable nodes in power communication network based on the model of invalid proximity of edge. Int. J. Auton. Adapt. Commun. Syst. 14(4): 354-370 (2021) - [j5]Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou:
MS-Ranker: Accumulating evidence from potentially correct candidates via reinforcement learning for answer selection. Neurocomputing 449: 270-279 (2021) - [j4]Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
A dependency syntactic knowledge augmented interactive architecture for end-to-end aspect-based sentiment analysis. Neurocomputing 454: 291-302 (2021) - [j3]Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song:
Simulated annealing for optimization of graphs and sequences. Neurocomputing 465: 310-324 (2021) - [j2]Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Jie Zhou:
Bridging Text and Video: A Universal Multimodal Transformer for Audio-Visual Scene-Aware Dialog. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2476-2483 (2021) - [j1]YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun:
CSS-LM: A Contrastive Framework for Semi-Supervised Fine-Tuning of Pre-Trained Language Models. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2930-2941 (2021) - [c90]Huimin Chen, Yankai Lin, Fanchao Qi, Jinyi Hu, Peng Li, Jie Zhou, Maosong Sun:
Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework. AAAI 2021: 12639-12647 - [c89]Yunlong Liang, Fandong Meng, Ying Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation. AAAI 2021: 13343-13352 - [c88]Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu:
Faster Depth-Adaptive Transformers. AAAI 2021: 13424-13432 - [c87]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. AAAI 2021: 13727-13735 - [c86]Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou:
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances. ACL/IJCNLP (1) 2021: 128-138 - [c85]Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou:
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog. ACL/IJCNLP (Findings) 2021: 230-243 - [c84]Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou:
Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation. ACL/IJCNLP (Findings) 2021: 436-446 - [c83]Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu, Jie Zhou:
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. ACL/IJCNLP (2) 2021: 511-516 - [c82]Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou:
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency. ACL/IJCNLP (Findings) 2021: 1057-1067 - [c81]Sihong Liu, Jinchao Zhang, Keqing He, Weiran Xu, Jie Zhou:
Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System. ACL/IJCNLP (Findings) 2021: 1091-1102 - [c80]Xiuyi Chen, Feilong Chen, Fandong Meng, Peng Li, Jie Zhou:
Unsupervised Knowledge Selection for Dialogue Generation. ACL/IJCNLP (Findings) 2021: 1230-1244 - [c79]Tianyu Gao, Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. ACL/IJCNLP (Findings) 2021: 1306-1318 - [c78]Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition. ACL/IJCNLP (Findings) 2021: 1603-1615 - [c77]Yun Hu, Yeshuang Zhu, Jinchao Zhang, Changwen Zheng, Jie Zhou:
Toward Fully Exploiting Heterogeneous Corpus: A Decoupled Named Entity Recognition Model with Two-stage Training. ACL/IJCNLP (Findings) 2021: 1641-1652 - [c76]Yao Qiu, Jinchao Zhang, Jie Zhou:
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder. ACL/IJCNLP (Findings) 2021: 1698-1707 - [c75]Jie Zhou, Shengding Hu, Xin Lv, Cheng Yang, Zhiyuan Liu, Wei Xu, Jie Jiang, Juanzi Li, Maosong Sun:
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion. ACL/IJCNLP (Findings) 2021: 1751-1763 - [c74]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Confidence-Aware Scheduled Sampling for Neural Machine Translation. ACL/IJCNLP (Findings) 2021: 2327-2337 - [c73]Yuanxin Liu, Fandong Meng, Zheng Lin, Weiping Wang, Jie Zhou:
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation. ACL/IJCNLP (1) 2021: 2928-2941 - [c72]Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou:
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. ACL/IJCNLP (1) 2021: 3350-3363 - [c71]Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou:
Prevent the Language Model from being Overconfident in Neural Machine Translation. ACL/IJCNLP (1) 2021: 3456-3468 - [c70]Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou:
GTM: A Generative Triple-wise Model for Conversational Question Generation. ACL/IJCNLP (1) 2021: 3495-3506 - [c69]Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu, Jinsong Su:
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation. ACL/IJCNLP (1) 2021: 5076-5085 - [c68]Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun:
Rethinking Stealthiness of Backdoor Attack against NLP Models. ACL/IJCNLP (1) 2021: 5543-5557 - [c67]Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Modeling Bilingual Conversational Characteristics for Neural Chat Translation. ACL/IJCNLP (1) 2021: 5711-5724 - [c66]Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou:
CLEVE: Contrastive Pre-training for Event Extraction. ACL/IJCNLP (1) 2021: 6283-6297 - [c65]Fusheng Wang, Jianhao Yan, Fandong Meng, Jie Zhou:
Selective Knowledge Distillation for Neural Machine Translation. ACL/IJCNLP (1) 2021: 6456-6466 - [c64]Zipeng Xu, Fandong Meng, Xiaojie Wang, Duo Zheng, Chenxu Lv, Jie Zhou:
Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue. BMVC 2021: 161 - [c63]Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, Maosong Sun:
MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. CIKM 2021: 4643-4652 - [c62]Yunlong Liang, Chulun Zhou, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou:
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation. EMNLP (1) 2021: 67-79 - [c61]Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun:
Dynamic Knowledge Distillation for Pre-trained Language Models. EMNLP (1) 2021: 379-389 - [c60]Lei Li, Yankai Lin, Deli Chen, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun:
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade. EMNLP (Findings) 2021: 475-486 - [c59]Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis. EMNLP (Findings) 2021: 1768-1780 - [c58]Duo Zheng, Zipeng Xu, Fandong Meng, Xiaojie Wang, Jiaan Wang, Jie Zhou:
Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser. EMNLP (Findings) 2021: 1839-1851 - [c57]Yao Qiu, Jinchao Zhang, Jie Zhou:
Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks. EMNLP (1) 2021: 2318-2327 - [c56]Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang, Jinsong Su:
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings. EMNLP (1) 2021: 2407-2417 - [c55]Mingliang Zhang, Fandong Meng, Yunhai Tong, Jie Zhou:
Competence-based Curriculum Learning for Multilingual Machine Translation. EMNLP (Findings) 2021: 2481-2493 - [c54]Lei Shen, Jinchao Zhang, Jiao Ou, Xiaofang Zhao, Jie Zhou:
Constructing Emotional Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation. EMNLP (Findings) 2021: 3124-3134 - [c53]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation. EMNLP (1) 2021: 3285-3296 - [c52]Yuan Yao, Jiaju Du, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, Maosong Sun:
CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild. EMNLP (1) 2021: 4452-4472 - [c51]Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun:
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. EMNLP (1) 2021: 8365-8381 - [c50]Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou:
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification. EMNLP (1) 2021: 9029-9043 - [c49]Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou:
Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition. NAACL-HLT 2021: 1592-1599 - [c48]Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Topology-Imbalance Learning for Semi-Supervised Node Classification. NeurIPS 2021: 29885-29897 - [c47]Jiarui Fang, Yang Yu, Chengduo Zhao, Jie Zhou:
TurboTransformers: an efficient GPU serving system for transformer models. PPoPP 2021: 389-402 - [c46]Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou:
WeChat Neural Machine Translation Systems for WMT21. WMT@EMNLP 2021: 243-254 - [i96]Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Jie Zhou:
WeChat AI's Submission for DSTC9 Interactive Dialogue Evaluation Track. CoRR abs/2101.07947 (2021) - [i95]Tianyu Gao, Xu Han, Keyue Qiu, Yuzhuo Bai, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. CoRR abs/2105.09543 (2021) - [i94]Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou:
Prevent the Language Model from being Overconfident in Neural Machine Translation. CoRR abs/2105.11098 (2021) - [i93]Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu, Jie Zhou:
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. CoRR abs/2105.12523 (2021) - [i92]Fusheng Wang, Jianhao Yan, Fandong Meng, Jie Zhou:
Selective Knowledge Distillation for Neural Machine Translation. CoRR abs/2105.12967 (2021) - [i91]Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, YuSheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Knowledge Inheritance for Pre-trained Language Models. CoRR abs/2105.13880 (2021) - [i90]Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou:
CLEVE: Contrastive Pre-training for Event Extraction. CoRR abs/2105.14485 (2021) - [i89]Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Fully Hyperbolic Neural Networks. CoRR abs/2105.14686 (2021) - [i88]Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu, Jinsong Su:
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation. CoRR abs/2106.00261 (2021) - [i87]Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou:
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances. CoRR abs/2106.02227 (2021) - [i86]Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou:
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency. CoRR abs/2106.02228 (2021) - [i85]Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou:
GTM: A Generative Triple-Wise Model for Conversational Question Generation. CoRR abs/2106.03635 (2021) - [i84]Yuanxin Liu, Fandong Meng, Zheng Lin, Weiping Wang, Jie Zhou:
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation. CoRR abs/2106.05691 (2021) - [i83]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou:
Sequence-Level Training for Non-Autoregressive Neural Machine Translation. CoRR abs/2106.08122 (2021) - [i82]Jianhao Yan, Chenming Wu, Fandong Meng, Jie Zhou:
Rethinking the Evaluation of Neural Machine Translation. CoRR abs/2106.15217 (2021) - [i81]Zipeng Xu, Fandong Meng, Xiaojie Wang, Duo Zheng, Chenxu Lv, Jie Zhou:
Modeling Explicit Concerning States for Reinforcement Learning in Visual Dialogue. CoRR abs/2107.05250 (2021) - [i80]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Confidence-Aware Scheduled Sampling for Neural Machine Translation. CoRR abs/2107.10427 (2021) - [i79]Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition. CoRR abs/2107.10523 (2021) - [i78]Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Modeling Bilingual Conversational Characteristics for Neural Chat Translation. CoRR abs/2107.11164 (2021) - [i77]Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou:
WeChat Neural Machine Translation Systems for WMT21. CoRR abs/2108.02401 (2021) - [i76]Jiarui Fang, Yang Yu, Shenggui Li, Yang You, Jie Zhou:
PatrickStar: Parallel Training of Pre-trained Models via a Chunk-based Memory Management. CoRR abs/2108.05818 (2021) - [i75]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation. CoRR abs/2108.12963 (2021) - [i74]Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou:
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification. CoRR abs/2109.00523 (2021) - [i73]Yunlong Liang, Chulun Zhou, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou:
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation. CoRR abs/2109.00668 (2021) - [i72]Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou:
Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark. CoRR abs/2109.01839 (2021) - [i71]Duo Zheng, Zipeng Xu, Fandong Meng, Xiaojie Wang, Jiaan Wang, Jie Zhou:
Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser. CoRR abs/2109.02297 (2021) - [i70]Mingliang Zhang, Fandong Meng, Yunhai Tong, Jie Zhou:
Competence-based Curriculum Learning for Multilingual Machine Translation. CoRR abs/2109.04002 (2021) - [i69]Xueyao Zhang, Jinchao Zhang, Yao Qiu, Li Wang, Jie Zhou:
Structure-Enhanced Pop Music Generation via Harmony-Aware Learning. CoRR abs/2109.06441 (2021) - [i68]Yao Qiu, Jinchao Zhang, Jie Zhou:
Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks. CoRR abs/2109.06524 (2021) - [i67]Yao Qiu, Jinchao Zhang, Jie Zhou:
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder. CoRR abs/2109.06536 (2021) - [i66]Yao Qiu, Jinchao Zhang, Huiying Ren, Jie Zhou:
Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training. CoRR abs/2109.06538 (2021) - [i65]Lei Shen, Jinchao Zhang, Jiao Ou, Xiaofang Zhao, Jie Zhou:
Constructing Emotion Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation. CoRR abs/2109.07779 (2021) - [i64]Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou:
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog. CoRR abs/2109.08475 (2021) - [i63]Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou:
Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation. CoRR abs/2109.08478 (2021) - [i62]Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun:
Dynamic Knowledge Distillation for Pre-trained Language Models. CoRR abs/2109.11295 (2021) - [i61]Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song:
Simulated annealing for optimization of graphs and sequences. CoRR abs/2110.01384 (2021) - [i60]Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
MoEfication: Conditional Computation of Transformer Models for Efficient Inference. CoRR abs/2110.01786 (2021) - [i59]Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Topology-Imbalance Learning for Semi-Supervised Node Classification. CoRR abs/2110.04099 (2021) - [i58]Zhen Yang, Yingxue Zhang, Ernan Li, Fandong Meng, Jie Zhou:
WeTS: A Benchmark for Translation Suggestion. CoRR abs/2110.05151 (2021) - [i57]Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang, Jinsong Su:
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings. CoRR abs/2110.06446 (2021) - [i56]Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun:
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. CoRR abs/2110.07831 (2021) - [i55]Yujia Qin, Xiaozhi Wang, YuSheng Su, Yankai Lin, Ning Ding, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou:
Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning. CoRR abs/2110.07867 (2021) - [i54]YuSheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou:
On Transferability of Prompt Tuning for Natural Language Understanding. CoRR abs/2111.06719 (2021) - [i53]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models. CoRR abs/2112.07327 (2021) - 2020
- [c45]Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou:
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. AAAI 2020: 198-205 - [c44]Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun:
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View. AAAI 2020: 3438-3445 - [c43]Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou:
Multi-Zone Unit for Recurrent Neural Networks. AAAI 2020: 5150-5157 - [c42]Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou:
DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog. AAAI 2020: 7504-7511 - [c41]Yongjing Yin, Fandong Meng, Jinsong Su, Yubin Ge, Linfeng Song, Jie Zhou, Jiebo Luo:
Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions. AAAI 2020: 9482-9489 - [c40]Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song:
Unsupervised Paraphrasing by Simulated Annealing. ACL 2020: 302-312 - [c39]Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie Zhou, Jiebo Luo:
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation. ACL 2020: 3025-3035 - [c38]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation. ACL 2020: 3059-3069 - [c37]Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu, Jie Zhou:
A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking. ACL 2020: 6322-6333 - [c36]Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Continual Relation Learning via Episodic Memory Activation and Reconsolidation. ACL 2020: 6429-6440 - [c35]Hui Su, Xiaoyu Shen, Sanqiang Zhao, Xiao Zhou, Pengwei Hu, Randy Zhong, Cheng Niu, Jie Zhou:
Diversifying Dialogue Generation with Non-Conversational Text. ACL 2020: 7087-7097 - [c34]Keqing He, Jinchao Zhang, Yuanmeng Yan, Weiran Xu, Cheng Niu, Jie Zhou:
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack. COLING 2020: 1461-1467 - [c33]Tengfei Huo, Zhiqiang Liu, Jinchao Zhang, Jie Zhou:
One Comment from One Perspective: An Effective Strategy for Enhancing Automatic Music Comment. COLING 2020: 2889-2899 - [c32]Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu:
Token-level Adaptive Training for Neural Machine Translation. EMNLP (1) 2020: 1035-1046 - [c31]Jianhao Yan, Fandong Meng, Jie Zhou:
Multi-Unit Transformers for Neural Machine Translation. EMNLP (1) 2020: 1047-1059 - [c30]Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou:
MAVEN: A Massive General Domain Event Detection Dataset. EMNLP (1) 2020: 1652-1671 - [c29]Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang:
Disentangle-based Continual Graph Representation Learning. EMNLP (1) 2020: 2961-2972 - [c28]Lin Qiao, Jianhao Yan, Fandong Meng, Zhendong Yang, Jie Zhou:
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph. EMNLP (Findings) 2020: 3336-3344 - [c27]Xiuyi Chen, Fandong Meng, Peng Li, Feilong Chen, Shuang Xu, Bo Xu, Jie Zhou:
Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation. EMNLP (1) 2020: 3426-3437 - [c26]Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Learning from Context or Names? An Empirical Study on Neural Relation Extraction. EMNLP (1) 2020: 3661-3672 - [c25]Hui Su, Xiaoyu Shen, Xiao Zhou, Zheng Zhang, Ernie Chang, Cheng Zhang, Cheng Niu, Jie Zhou:
MovieChats: Chat like Humans in a Closed Domain. EMNLP (1) 2020: 6605-6619 - [c24]Xiaozhi Wang, Shengyu Jia, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Jie Zhou:
Neural Gibbs Sampling for Joint Event Argument Extraction. AACL/IJCNLP 2020: 169-180 - [c23]Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun:
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. AACL/IJCNLP 2020: 745-758 - [c22]Chenhao Lin, Pengwei Hu, Hui Su, Shaochun Li, Jing Mei, Jie Zhou, Henry Leung:
SenseMood: Depression Detection on Social Media. ICMR 2020: 407-411 - [c21]Huan Lin, Fandong Meng, Jinsong Su, Yongjing Yin, Zhengyuan Yang, Yubin Ge, Jie Zhou, Jiebo Luo:
Dynamic Context-guided Capsule Network for Multimodal Machine Translation. ACM Multimedia 2020: 1320-1329 - [c20]Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou:
WeChat Neural Machine Translation Systems for WMT20. WMT@EMNLP 2020: 239-247 - [i52]Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Cheng Niu, Jie Zhou:
Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog. CoRR abs/2002.00163 (2020) - [i51]Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou:
Depth-Adaptive Graph Recurrent Network for Text Classification. CoRR abs/2003.00166 (2020) - [i50]Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
An Iterative Knowledge Transfer Network with Routing for Aspect-based Sentiment Analysis. CoRR abs/2004.01935 (2020) - [i49]Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis. CoRR abs/2004.01951 (2020) - [i48]Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. CoRR abs/2004.03186 (2020) - [i47]Canxiang Yan, Jianhao Yan, Yangyin Xu, Cheng Niu, Jie Zhou:
Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels. CoRR abs/2004.09974 (2020) - [i46]Zeyang Lei, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Yujiu Yang, Cheng Niu, Jie Zhou:
Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization. CoRR abs/2004.12429 (2020) - [i45]Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu:
Explicitly Modeling Adaptive Depths for Transformer. CoRR abs/2004.13542 (2020) - [i44]Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou:
MAVEN: A Massive General Domain Event Detection Dataset. CoRR abs/2004.13590 (2020) - [i43]Xiaoyu Shen, Ernie Chang, Hui Su, Jie Zhou, Dietrich Klakow:
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence. CoRR abs/2005.01096 (2020) - [i42]Hui Su, Xiaoyu Shen, Sanqiang Zhao, Xiao Zhou, Pengwei Hu, Randy Zhong, Cheng Niu, Jie Zhou:
Diversifying Dialogue Generation with Non-Conversational Text. CoRR abs/2005.04346 (2020) - [i41]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation. CoRR abs/2006.05165 (2020) - [i40]Jianhao Yan, Fandong Meng, Jie Zhou:
Dual Past and Future for Neural Machine Translation. CoRR abs/2007.07728 (2020) - [i39]Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie Zhou, Jiebo Luo:
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation. CoRR abs/2007.08742 (2020) - [i38]Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis. CoRR abs/2008.05179 (2020) - [i37]Huan Lin, Fandong Meng, Jinsong Su, Yongjing Yin, Zhengyuan Yang, Yubin Ge, Jie Zhou, Jiebo Luo:
Dynamic Context-guided Capsule Network for Multimodal Machine Translation. CoRR abs/2009.02016 (2020) - [i36]YuSheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun:
Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models. CoRR abs/2009.13964 (2020) - [i35]Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou:
WeChat Neural Machine Translation Systems for WMT20. CoRR abs/2010.00247 (2020) - [i34]Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Learning from Context or Names? An Empirical Study on Neural Relation Extraction. CoRR abs/2010.01923 (2020) - [i33]Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang:
Disentangle-based Continual Graph Representation Learning. CoRR abs/2010.02565 (2020) - [i32]Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu:
Token-level Adaptive Training for Neural Machine Translation. CoRR abs/2010.04380 (2020) - [i31]Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou:
MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection. CoRR abs/2010.04970 (2020) - [i30]Lin Qiao, Jianhao Yan, Fandong Meng, Zhendong Yang, Jie Zhou:
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph. CoRR abs/2010.05511 (2020) - [i29]Jiarui Fang, Yang Yu, Chengduo Zhao, Jie Zhou:
TurboTransformers: An Efficient GPU Serving System For Transformer Models. CoRR abs/2010.05680 (2020) - [i28]Jianhao Yan, Fandong Meng, Jie Zhou:
Multi-Unit Transformers for Neural Machine Translation. CoRR abs/2010.10743 (2020) - [i27]Yunlong Liang, Fandong Meng, Ying Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation. CoRR abs/2012.04882 (2020) - [i26]Deli Chen, Yanyai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Distance-wise Graph Contrastive Learning. CoRR abs/2012.07437 (2020) - [i25]Lei Li, Yankai Lin, Shuhuai Ren, Deli Chen, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Accelerating Pre-trained Language Models via Calibrated Cascade. CoRR abs/2012.14682 (2020) - [i24]Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou:
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. CoRR abs/2012.15022 (2020)
2010 – 2019
- 2019
- [c19]Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou:
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations. ACL (1) 2019: 12-21 - [c18]Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou:
Improving Multi-turn Dialogue Modelling with Utterance ReWriter. ACL (1) 2019: 22-31 - [c17]Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun:
DocRED: A Large-Scale Document-Level Relation Extraction Dataset. ACL (1) 2019: 764-777 - [c16]Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-Cheung Tam, Cheng Niu, Jie Zhou:
Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation. ACL (1) 2019: 1992-2001 - [c15]Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun:
Towards Fine-grained Text Sentiment Transfer. ACL (1) 2019: 2013-2022 - [c14]Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun:
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation. ACL (1) 2019: 2047-2057 - [c13]Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling. ACL (1) 2019: 2431-2441 - [c12]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou:
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. ACL (1) 2019: 3013-3024 - [c11]Jie Zhou, Qi Su, Pengyuan Liu:
A Metaphorical Analysis of Five Senses and Emotions in Mandarin Chinese. CLSW 2019: 607-617 - [c10]Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu:
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. EMNLP/IJCNLP (1) 2019: 1051-1060 - [c9]Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou:
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation. EMNLP/IJCNLP (1) 2019: 1527-1537 - [c8]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu:
NumNet: Machine Reading Comprehension with Numerical Reasoning. EMNLP/IJCNLP (1) 2019: 2474-2484 - [c7]Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis. EMNLP/IJCNLP (1) 2019: 5568-5579 - [c6]Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren:
HMEAE: Hierarchical Modular Event Argument Extraction. EMNLP/IJCNLP (1) 2019: 5776-5782 - [c5]Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. EMNLP/IJCNLP (1) 2019: 6249-6254 - [c4]Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. IJCAI 2019: 5116-5122 - [i23]Qiu Ran, Peng Li, Weiwei Hu, Jie Zhou:
Option Comparison Network for Multiple-choice Reading Comprehension. CoRR abs/1903.03033 (2019) - [i22]Jie Zhou, Xingyi Cheng, Jinchao Zhang:
An end-to-end Neural Network Framework for Text Clustering. CoRR abs/1903.09424 (2019) - [i21]Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Zhifang Sui, Xu Sun:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. CoRR abs/1905.10060 (2019) - [i20]Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling. CoRR abs/1906.02437 (2019) - [i19]Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun:
DocRED: A Large-Scale Document-Level Relation Extraction Dataset. CoRR abs/1906.06127 (2019) - [i18]Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou:
Improving Multi-turn Dialogue Modelling with Utterance ReWriter. CoRR abs/1906.07004 (2019) - [i17]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou:
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. CoRR abs/1906.09444 (2019) - [i16]Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou:
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations. CoRR abs/1907.08854 (2019) - [i15]Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun:
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation. CoRR abs/1908.03067 (2019) - [i14]Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou:
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis. CoRR abs/1909.00324 (2019) - [i13]Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou:
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation. CoRR abs/1909.00564 (2019) - [i12]Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun:
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View. CoRR abs/1909.03211 (2019) - [i11]Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song:
Unsupervised Paraphrasing by Simulated Annealing. CoRR abs/1909.03588 (2019) - [i10]Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu:
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. CoRR abs/1909.06937 (2019) - [i9]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu:
NumNet: Machine Reading Comprehension with Numerical Reasoning. CoRR abs/1910.06701 (2019) - [i8]Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. CoRR abs/1910.07124 (2019) - [i7]Yingxue Zhang, Ping Jian, Fandong Meng, Ruiying Geng, Wei Cheng, Jie Zhou:
Semantic Graph Convolutional Network for Implicit Discourse Relation Classification. CoRR abs/1910.09183 (2019) - [i6]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. CoRR abs/1911.02215 (2019) - [i5]Deli Chen, Xiaoqian Liu, Yankai Lin, Peng Li, Jie Zhou, Qi Su, Xu Sun:
Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks. CoRR abs/1911.03904 (2019) - [i4]Fandong Meng, Jinchao Zhang, Yang Liu, Jie Zhou:
Multi-Zone Unit for Recurrent Neural Networks. CoRR abs/1911.07184 (2019) - [i3]Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou:
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. CoRR abs/1911.09320 (2019) - [i2]Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou:
DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog. CoRR abs/1912.08360 (2019) - 2017
- [c3]Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu:
Deep Neural Machine Translation with Linear Associative Unit. ACL (1) 2017: 136-145 - [c2]Jinchao Zhang, Mingxuan Wang, Qun Liu, Jie Zhou:
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation. ACL (1) 2017: 1524-1534 - [c1]Jinchao Zhang, Qun Liu, Jie Zhou:
ME-MD: An Effective Framework for Neural Machine Translation with Multiple Encoders and Decoders. IJCAI 2017: 3392-3398 - [i1]Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu:
Deep Neural Machine Translation with Linear Associative Unit. CoRR abs/1705.00861 (2017)
Coauthor Index
[j22] [c194] [c192] [c191] [c190] [i218] [i214] [i213] [i209] [i204] [c165] [c145] [i184] [i172] [i159] [j12] [j11] [c133] [c131] [c130] [c125] [c112] [c96] [c91] [i141] [i137] [i135] [i130] [i127] [i120] [i104] [i97] [j4] [c89] [c88] [c78] [c74] [c67] [c62] [c59] [c53] [i80] [i79] [i78] [i75] [i73] [i51] [i50] [i49] [i45] [i38] [i27] [c13] [c10] [c7] [i20] [i14] [i10]
[j20] [c198] [c174] [i220] [i203] [i198] [i192] [c164] [c161] [c160] [c159] [c158] [c148] [c147] [i178] [i176] [i170] [i169] [i168] [i154] [i152] [i144] [c136] [c124] [c118] [c114] [c106] [c98] [i111] [i110] [i106] [j8] [j1] [c79] [c66] [i95] [i91] [i90] [i89] [c36] [c30] [c26] [c24] [c23] [i48] [i44] [i36] [i34] [c17] [c6] [c5] [i19] [i8]
Juan-Zi Li
aka: Juanzi Li
aka: Juanzi Li
[j19] [j14] [c159] [i189] [i169] [c135] [c132] [c129] [c126] [c124] [c118] [c115] [c108] [c103] [c98] [c97] [i134] [i131] [i125] [i116] [i113] [i106] [j8] [j5] [j1] [c90] [c87] [c85] [c84] [c80] [c79] [c72] [c68] [c66] [c63] [c61] [c60] [c52] [c51] [c49] [c48] [c46] [i95] [i91] [i90] [i89] [i77] [i64] [i63] [i62] [i60] [i59] [i56] [i55] [i54] [i53] [c44] [c42] [c38] [c36] [c30] [c29] [c27] [c26] [c24] [c23] [c20] [i48] [i44] [i41] [i36] [i35] [i34] [i33] [i31] [i26] [i25] [i24] [c17] [c15] [c14] [c8] [c6] [c5] [c4] [i23] [i21] [i19] [i15] [i12] [i9] [i8] [i6] [i5] [i2]
[j20] [j19] [c200] [c198] [c186] [c179] [c178] [c174] [i227] [i226] [i222] [i198] [j14] [c164] [c161] [c160] [c159] [c158] [c148] [c147] [i189] [i178] [i176] [i170] [i169] [i168] [i165] [i164] [i154] [i152] [i145] [i144] [c135] [c132] [c129] [c126] [c124] [c121] [c118] [c115] [c114] [c108] [c106] [c103] [c98] [c97] [i134] [i131] [i125] [i122] [i116] [i113] [i111] [i110] [i106] [j8] [j1] [c90] [c87] [c79] [c72] [c68] [c66] [c63] [c61] [c60] [c52] [c51] [c48] [i95] [i91] [i90] [i89] [i62] [i60] [i59] [i56] [i55] [i54] [i53] [c44] [c38] [c36] [c30] [c29] [c26] [c23] [i48] [i44] [i41] [i36] [i34] [i33] [i25] [i24] [c17] [c8] [i19] [i12] [i9] [i6] [i5]
[j20] [j19] [c200] [c198] [c186] [c180] [c179] [c174] [i227] [i222] [i220] [i203] [i198] [i197] [i192] [c164] [c161] [c160] [c159] [c158] [c148] [c147] [i178] [i176] [i170] [i169] [i168] [i164] [i161] [i154] [i153] [i152] [i144] [c136] [c135] [c129] [c126] [c124] [c121] [c118] [c114] [c106] [c98] [c97] [i134] [i122] [i111] [i110] [i106] [j8] [j1] [c79] [c75] [c72] [c66] [c52] [i95] [i91] [i90] [i89] [i60] [i55] [i54] [c36] [c30] [c26] [c24] [c23] [i48] [i44] [i36] [i34] [i24] [c17] [c8] [c6] [c5] [i19] [i9] [i8]
[j22] [j18] [c206] [c205] [c204] [c203] [c202] [c201] [c199] [c197] [c195] [c194] [c193] [c192] [c191] [c190] [c189] [c188] [c187] [c185] [c184] [c183] [c178] [c177] [c176] [c173] [c172] [c171] [c170] [i230] [i229] [i223] [i221] [i219] [i218] [i216] [i215] [i214] [i213] [i212] [i210] [i209] [i208] [i207] [i205] [i204] [i200] [i199] [i196] [i195] [i194] [i193] [i191] [j16] [j15] [c168] [c167] [c166] [c165] [c163] [c162] [c157] [c156] [c155] [c153] [c152] [c151] [c150] [c145] [c142] [c141] [i190] [i188] [i187] [i186] [i184] [i183] [i181] [i180] [i179] [i177] [i175] [i174] [i173] [i172] [i171] [i167] [i166] [i165] [i163] [i162] [i160] [i159] [i158] [i157] [i156] [i155] [i151] [i149] [i148] [i147] [i146] [j12] [j11] [j9] [c133] [c131] [c130] [c128] [c125] [c123] [c122] [c120] [c119] [c113] [c112] [c111] [c110] [c109] [c107] [c105] [c104] [c102] [c99] [c96] [c95] [c94] [c93] [c92] [c91] [i142] [i141] [i140] [i139] [i138] [i137] [i136] [i135] [i133] [i132] [i130] [i129] [i128] [i127] [i126] [i124] [i120] [i119] [i118] [i117] [i115] [i114] [i112] [i109] [i105] [i104] [i103] [i101] [i99] [i98] [i97] [j7] [j5] [j4] [j3] [c89] [c88] [c85] [c84] [c83] [c80] [c78] [c74] [c73] [c71] [c70] [c69] [c67] [c65] [c64] [c62] [c59] [c58] [c56] [c55] [c53] [c49] [c46] [i94] [i93] [i92] [i88] [i85] [i84] [i83] [i82] [i81] [i80] [i79] [i78] [i77] [i75] [i73] [i71] [i70] [i64] [i63] [i61] [i58] [i57] [c45] [c43] [c42] [c41] [c40] [c39] [c37] [c32] [c31] [c28] [c27] [c21] [c20] [i51] [i50] [i49] [i46] [i45] [i40] [i39] [i38] [i37] [i35] [i32] [i31] [i30] [i28] [i27] [c19] [c13] [c12] [c10] [c9] [c7] [i20] [i17] [i16] [i14] [i13] [i11] [i10] [i7] [i4] [i3] [i2]
[j20] [j19] [c200] [c186] [c180] [c179] [c174] [i227] [i222] [i220] [i203] [i198] [i197] [i192] [c164] [c161] [c160] [c159] [c158] [c148] [c147] [i178] [i176] [i170] [i169] [i168] [i164] [i161] [i154] [i152] [c136] [c135] [c129] [c124] [c121] [c114] [c106] [c98] [c97] [i134] [i122] [i111] [i110] [j8] [j1] [c90] [c79] [c75] [c72] [c63] [c52] [i95] [i91] [i89] [i60] [i55] [i54] [c36] [c26] [c23] [i48] [i36] [i34] [i24] [c17] [c6] [c5] [i19] [i8]
Jin An Xu
aka: Jinan Xu
aka: Jinan Xu
[j22] [c194] [c192] [c191] [c190] [i218] [i214] [i213] [i212] [i209] [i204] [j15] [c165] [c157] [c145] [i188] [i186] [i184] [i177] [i172] [i159] [j12] [j11] [c133] [c131] [c130] [c125] [c112] [c96] [c91] [i141] [i137] [i135] [i130] [i127] [i120] [i104] [i97] [j4] [c89] [c88] [c83] [c78] [c74] [c67] [c62] [c59] [c53] [c46] [i93] [i80] [i79] [i78] [i77] [i75] [i73] [i51] [i50] [i49] [i45] [i38] [i27] [c13] [c10] [c7] [i20] [i14] [i10]
[j21] [c181] [i206] [c169] [c154] [c144] [c143] [j11] [c127] [c117] [c116] [c101] [c100] [i143] [i123] [i108] [i102] [i100] [j7] [j4] [j2] [c86] [c82] [c81] [c77] [c76] [c70] [c59] [c57] [c54] [c50] [i96] [i87] [i86] [i85] [i83] [i74] [i72] [i69] [i68] [i67] [i66] [i65] [c45] [c43] [c37] [c34] [c33] [c32] [i52] [i50] [i49] [i46] [i38] [i32] [c13] [c12] [c10] [c9] [c7] [i22] [i20] [i17] [i14] [i13] [i10] [i4] [i3] [c2] [c1]
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