Jie Zhou

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 349

Top Venues

Publications

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)
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)
Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou
Multilingual Knowledge Editing with Language-Agnostic Factual Neurons. CoRR (2024)
Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. CoRR (2024)
Yong Hu, Fandong Meng, Jie Zhou
CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers. ACL (1) (2024)
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)
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) (2024)
Yijin Liu, Fandong Meng, Jie Zhou
Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy. CoRR (2024)
Yijin Liu, Xianfeng Zeng, Chenze Shao, Fandong Meng, Jie Zhou
Instruction Position Matters in Sequence Generation with Large Language Models. ACL (Findings) (2024)
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Outdated Issue Aware Decoding for Factual Knowledge Editing.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)
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 (2024)
Liqiang Niu, Fandong Meng, Jie Zhou
UMTIT: Unifying Recognition, Translation, and Generation for Multimodal Text Image Translation. LREC/COLING (2024)
Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective. CoRR (2024)
Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou
C-LLM: Learn to Check Chinese Spelling Errors Character by Character. CoRR (2024)
Yuan Liu, Le Tian, Xiao Zhou, Jie Zhou
Rethinking Overlooked Aspects in Vision-Language Models. CoRR (2024)
Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. CoRR (2024)
Chenze Shao, Fandong Meng, Jie Zhou
Patch-Level Training for Large Language Models. CoRR (2024)
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 (2024)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. ACL (1) (2024)
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 (2024)
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 (2024)
Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou
Generative Multi-Modal Knowledge Retrieval with Large Language Models. CoRR (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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)
Yao Qiu, Jinchao Zhang, Yong Shan, Jie Zhou
Enhancing Note-Level Singing Transcription Model with Unlabeled and Weakly Labeled Data. ICASSP (2024)
Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. LREC/COLING (2024)
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 (2024)
Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou
Teaching Large Language Models to Translate with Comparison. AAAI (2024)
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 (2024)
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)
Yiran Yang, Jinchao Zhang, Ying Deng, Jie Zhou
Mobius: A High Efficient Spatial-Temporal Parallel Training Paradigm for Text-to-Video Generation Task. CoRR (2024)
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
Large Language Models Are Not Robust Multiple Choice Selectors. ICLR (2024)
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 (2024)
Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou
Language Generation with Strictly Proper Scoring Rules. CoRR (2024)
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 (2024)
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 (2024)
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)
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 (2023)
Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng
Rephrasing the Reference for Non-autoregressive Machine Translation. AAAI (2023)
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 (2023)
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 (2023)
Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang
Consistency Regularization Training for Compositional Generalization. ACL (1) (2023)
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 (2023)
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)
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 (2023)
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)
Yun Luo, Zhen Yang, Xuefeng Bai, Fandong Meng, Jie Zhou, Yue Zhang
Investigating Forgetting in Pre-Trained Representations Through Continual Learning. CoRR (2023)
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) (2023)
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)
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 (2023)
Rui Ding, Ruobing Xie, Xiaobo Hao, Xiaochun Yang, Kaikai Ge, Xu Zhang, Jie Zhou, Leyu Lin
Interpretable User Retention Modeling in Recommendation. RecSys (2023)
Chulun Zhou, Yunlong Liang, Fandong Meng, Jinan Xu, Jinsong Su, Jie Zhou
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training. CoRR (2023)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
Attacking Pre-trained Recommendation. SIGIR (2023)
Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou
BranchNorm: Robustly Scaling Extremely Deep Transformers. CoRR (2023)
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 (2023)
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 (2023)
Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou
TIM: Teaching Large Language Models to Translate with Comparison. CoRR (2023)
Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding. CoRR (2023)
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 (2023)
Zhen Yang, Yingxue Zhang, Fandong Meng, Jie Zhou
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models. CoRR (2023)
Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou
Towards Unifying Multi-Lingual and Cross-Lingual Summarization. CoRR (2023)
Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou
Unified Model Learning for Various Neural Machine Translation. CoRR (2023)
Jiaan Wang, Yunlong Liang, Fandong Meng, Zhixu Li, Jianfeng Qu, Jie Zhou
Cross-Lingual Summarization via ChatGPT. CoRR (2023)
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)
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)
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
Large Language Models Are Not Robust Multiple Choice Selectors. CoRR (2023)
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 (2023)
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 (2023)
Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou
TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization. CoRR (2023)
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)
Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou, Yue Zhang
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information. CoRR (2023)
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)
Wenqi Sun, Ruobing Xie, Shuqing Bian, Wayne Xin Zhao, Jie Zhou
Universal Multi-modal Multi-domain Pre-trained Recommendation. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization. ACL (1) (2023)
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 (2022)
Siyu Lai, Zhen Yang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment. EMNLP (2022)
Yong Hu, Fandong Meng, Jie Zhou
CSCD-IME: Correcting Spelling Errors Generated by Pinyin IME. CoRR (2022)
Zhen Yang, Fandong Meng, Yingxue Zhang, Ernan Li, Jie Zhou
Findings of the WMT 2022 Shared Task on Translation Suggestion. WMT (2022)
Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou
A Survey on Cross-Lingual Summarization. CoRR (2022)
Jie Zhou, Le Tian, Houjin Yu, Zhou Xiao, Hui Su, Jie Zhou
Dual Context-Guided Continuous Prompt Tuning for Few-Shot Learning. ACL (Findings) (2022)
Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou
Scheduled Multi-task Learning for Neural Chat Translation. ACL (1) (2022)
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 (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jie Zhou