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ORCIDJie Zhou 0016
Person information
- affiliation: Tencent Inc., WeChat AI, Pattern Recognition Center, Beijing, China
Other persons with the same name
- Jie Zhou — disambiguation page
- Jie Zhou 0001
![[0000-0001-7701-234X]](https://dblp1.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
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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) - [c199]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 - [c198]Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou:
Teaching Large Language Models to Translate with Comparison. AAAI 2024: 19488-19496 - [c197]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 - [c196]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 - [c195]Yong Hu, Fandong Meng, Jie Zhou:
CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers. ACL (1) 2024: 146-159 - [c194]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 - [c193]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 - [c192]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 - [c191]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 - [c190]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 - [c189]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 - [c188]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 - [c187]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 - [c186]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 - [c185]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 - [c184]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 - [c183]Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang:
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. LREC/COLING 2024: 4423-4437 - [c182]Liqiang Niu, Fandong Meng, Jie Zhou:
UMTIT: Unifying Recognition, Translation, and Generation for Multimodal Text Image Translation. LREC/COLING 2024: 16953-16972 - [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]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 - [c171]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 - [i217]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) - [i216]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) - [i215]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) - [i214]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) - [i213]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) - [i212]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) - [i211]Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou:
Graph Representation of Narrative Context: Coherence Dependency via Retrospective Questions. CoRR abs/2402.13551 (2024) - [i210]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) - [i209]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) - [i208]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) - [i207]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) - [i206]Yijin Liu, Fandong Meng, Jie Zhou:
Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy. CoRR abs/2404.06954 (2024) - [i205]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) - [i204]Yuan Liu, Le Tian, Xiao Zhou, Jie Zhou:
Rethinking Overlooked Aspects in Vision-Language Models. CoRR abs/2405.11850 (2024) - [i203]Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou:
Language Generation with Strictly Proper Scoring Rules. CoRR abs/2405.18906 (2024) - [i202]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) - [i201]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) - [i200]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) - [i199]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) - [i198]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) - [i197]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) - [i196]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) - [i195]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) - [i194]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) - [i193]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) - [i192]Chenze Shao, Fandong Meng, Jie Zhou:
Patch-Level Training for Large Language Models. CoRR abs/2407.12665 (2024) - [i191]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) - 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) - [c170]Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng:
Rephrasing the Reference for Non-autoregressive Machine Translation. AAAI 2023: 13538-13546 - [c169]Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang:
Consistency Regularization Training for Compositional Generalization. ACL (1) 2023: 1294-1308 - [c168]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 - [c167]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 - [c166]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 - [c165]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 - [c164]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 - [c163]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 - [c162]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 - [c161]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 - [c160]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 - [c159]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 - [c158]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 - [c157]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 - [c156]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 - [c155]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 - [c154]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 - [c153]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 - [c152]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 - [c151]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 - [c150]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 - [c149]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 - [c148]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 - [c147]Yuanxi Li, Hao Zhou, Jie Zhou, Minlie Huang:
Multi-Source Probing for Open-Domain Conversational Understanding. EMNLP 2023: 12491-12505 - [c146]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 - [c145]Yao Qiu, Jinchao Zhang, Huiying Ren, Yong Shan, Jie Zhou:
Humming2Music: Being A Composer As Long As You Can Humming. IJCAI 2023: 7163-7166 - [c144]Yong Shan, Jinchao Zhang, Huiying Ren, Yao Qiu, Jie Zhou:
LingGe: An Automatic Ancient Chinese Poem-to-Song Generation System. IJCAI 2023: 7171-7174 - [c143]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 - [c142]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 - [c141]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 - [c140]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 - [c139]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]