Lei Shen

According to our database, Lei Shen authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MuJo-SF: Multimodal Joint Slot Filling for Attribute Value Prediction of E-Commerce Commodities.

Meihuizi Jia, Lei Shen, Luu Anh Tuan, Meng Chen, Jing Xu, Lejian Liao, Shaozu Yuan, Xiaodong He

IEEE Trans. Multim., 2024

2023

MPP-net: Multi-perspective perception network for dense video captioning.

Yiwei Wei, Shaozu Yuan, Meng Chen, Xin Shen, Longbiao Wang, Lei Shen, Zhiling Yan

Neurocomputing, October, 2023

A Group Fairness Lens for Large Language Models.

Guanqun Bi, Lei Shen, Yuqiang Xie, Yanan Cao, Tiangang Zhu, Xiaodong He

CoRR, 2023

POSPAN: Position-Constrained Span Masking for Language Model Pre-training.

Zhenyu Zhang, Lei Shen, Yuming Zhao, Meng Chen, Xiaodong He

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Dialog-Post: Multi-Level Self-Supervised Objectives and Hierarchical Model for Dialogue Post-Training.

Zhenyu Zhang, Lei Shen, Yuming Zhao, Meng Chen, Xiaodong He

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Tackling Modality Heterogeneity with Multi-View Calibration Network for Multimodal Sentiment Detection.

Yiwei Wei, Shaozu Yuan, Ruosong Yang, Lei Shen, Zhangmeizhi Li, Longbiao Wang, Meng Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation.

Guanqun Bi, Lei Shen, Yanan Cao, Meng Chen, Yuqiang Xie, Zheng Lin, Xiaodong He

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MNER-QG: An End-to-End MRC Framework for Multimodal Named Entity Recognition with Query Grounding.

Meihuizi Jia, Lei Shen, Xin Shen, Lejian Liao, Meng Chen, Xiaodong He, Zhendong Chen, Jiaqi Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Modeling semantic and emotional relationship in multi-turn emotional conversations using multi-task learning.

Fuwei Cui, Hui Di, Lei Shen, Kazushige Ouchi, Ze Liu, Jinan Xu

Appl. Intell., 2022

Query Prior Matters: A MRC Framework for Multimodal Named Entity Recognition.

Meihuizi Jia, Xin Shen, Lei Shen, Jinhui Pang, Lejian Liao, Yang Song, Meng Chen, Xiaodong He

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Few-Shot Table Understanding: A Benchmark Dataset and Pre-Training Baseline.

Ruixue Liu, Shaozu Yuan, Aijun Dai, Lei Shen, Tiangang Zhu, Meng Chen, Xiaodong He

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Constructing Emotion Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation.

Lei Shen, Jinchao Zhang, Jiao Ou, Xiaofang Zhao, Jie Zhou

CoRR, 2021

Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generation.

Lei Shen, Haolan Zhan, Xin Shen, Yonghao Song, Xiaofang Zhao

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Learning to Select Context in a Hierarchical and Global Perspective for Open-Domain Dialogue Generation.

Lei Shen, Haolan Zhan, Xin Shen, Yang Feng

Proceedings of the IEEE International Conference on Acoustics, 2021

CoLV: A Collaborative Latent Variable Model for Knowledge-Grounded Dialogue Generation.

Haolan Zhan, Lei Shen, Hongshen Chen, Hainan Zhang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Constructing Emotional Consensus and Utilizing Unpaired Data for Empathetic Dialogue Generation.

Lei Shen, Jinchao Zhang, Jiao Ou, Xiaofang Zhao, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization.

Lei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao, Xiaodan Zhu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

GTM: A Generative Triple-wise Model for Conversational Question Generation.

Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Probing Product Description Generation via Posterior Distillation.

Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

User-Inspired Posterior Network for Recommendation Reason Generation.

Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Enhancing Multi-turn Dialogue Modeling with Intent Information for E-Commerce Customer Service.

Ruixue Liu, Meng Chen, Hang Liu, Lei Shen, Yang Song, Xiaodong He

Proceedings of the Natural Language Processing and Chinese Computing, 2020

The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service.

Meng Chen, Ruixue Liu, Lei Shen, Shaozu Yuan, Jingyan Zhou, Youzheng Wu, Xiaodong He, Bowen Zhou

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Compose Like Humans: Jointly Improving the Coherence and Novelty for Modern Chinese Poetry Generation.

Lei Shen, Xiaoyu Guo, Meng Chen

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation.

Lei Shen, Yang Feng

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018

Speeding Up Neural Machine Translation Decoding by Cube Pruning.

Wen Zhang, Liang Huang, Yang Feng, Lei Shen, Qun Liu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018