Tao Shen

According to our database, Tao Shen authored at least 80 papers between 2018 and 2024.

Collaborative distances:

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

2024

Dual-Personalizing Adapter for Federated Foundation Models.

Yiyuan Yang, Guodong Long, Tao Shen, Jing Jiang, Michael Blumenstein

CoRR, 2024

Meta-Task Prompting Elicits Embedding from Large Language Models.

Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates

CoRR, 2024

A Survey on Knowledge Distillation of Large Language Models.

Xiaohan Xu, Ming Li, Chongyang Tao, Tao Shen, Reynold Cheng, Jinyang Li, Can Xu, Dacheng Tao, Tianyi Zhou

CoRR, 2024

Leveraging Large Language Models for NLG Evaluation: A Survey.

Zhen Li, Xiaohan Xu, Tao Shen, Can Xu, Jia-Chen Gu, Chongyang Tao

CoRR, 2024

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels.

Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Federated Prompt Learning for Weather Foundation Models on Devices.

Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Extractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Information.

Guobiao Zhang, Xueping Peng, Tao Shen, Guodong Long, Jiasheng Si, Libo Qin, Wenpeng Lu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Re-Reading Improves Reasoning in Large Language Models.

Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jian-Guang Lou, Shuai Ma

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Leveraging Large Language Models for NLG Evaluation: Advances and Challenges.

Zhen Li, Xiaohan Xu, Tao Shen, Can Xu, Jia-Chen Gu, Yuxuan Lai, Chongyang Tao, Shuai Ma

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification.

Yang Li, Canran Xu, Guodong Long, Tao Shen, Chongyang Tao, Jing Jiang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Corpus-Steered Query Expansion with Large Language Models.

Yibin Lei, Yu Cao, Tianyi Zhou, Tao Shen, Andrew Yates

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Pre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment.

Yiyuan Yang, Guodong Long, Michael Blumenstein, Xiubo Geng, Chongyang Tao, Tao Shen, Daxin Jiang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

ADAM: Dense Retrieval Distillation with Adaptive Dark Examples.

Chongyang Tao, Chang Liu, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Meta-Task Prompting Elicits Embeddings from Large Language Models.

Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Synergistic Interplay between Search and Large Language Models for Information Retrieval.

Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever.

Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Yibin Lei, Tianyi Zhou, Michael Blumenstein, Daxin Jiang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Fine-Grained Distillation for Long Document Retrieval.

Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-center federated learning: clients clustering for better personalization.

Guodong Long, Ming Xie, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang

World Wide Web (WWW), January, 2023

Good Questions Help Zero-Shot Image Reasoning.

Kaiwen Yang, Tao Shen, Xinmei Tian, Xiubo Geng, Chongyang Tao, Dacheng Tao, Tianyi Zhou

CoRR, 2023

Thread of Thought Unraveling Chaotic Contexts.

Yucheng Zhou, Xiubo Geng, Tao Shen, Chongyang Tao, Guodong Long, Jian-Guang Lou, Jianbing Shen

CoRR, 2023

Re-Reading Improves Reasoning in Language Models.

Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jianguang Lou

CoRR, 2023

Spatial-temporal Prompt Learning for Federated Weather Forecasting.

Shengchao Chen, Guodong Long, Tao Shen, Tianyi Zhou, Jing Jiang

CoRR, 2023

Knowledge Refinement via Interaction Between Search Engines and Large Language Models.

Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang

CoRR, 2023

Large Language Models are Strong Zero-Shot Retriever.

Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Tianyi Zhou, Daxin Jiang

CoRR, 2023

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval.

Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwen Lin, Daxin Jiang

CoRR, 2023

LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval.

Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang

Proceedings of the ACM Web Conference 2023, 2023

Dimension-Prompts Boost Commonsense Consolidation.

Jiazhan Feng, Chongyang Tao, Tao Shen, Chang Liu, Dongyan Zhao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

UnifieR: A Unified Retriever for Large-Scale Retrieval.

Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data.

Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization.

Zefeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, Daxin Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP.

Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval.

Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval.

Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning.

Chang Liu, Chongyang Tao, Jianxin Liang, Jiazhan Feng, Tao Shen, Quzhe Huang, Dongyan Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Iterative Proposal Refinement for Weakly-Supervised Video Grounding.

Meng Cao, Fangyun Wei, Can Xu, Xiubo Geng, Long Chen, Can Zhang, Yuexian Zou, Tao Shen, Daxin Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation.

Weikuan Wang, Tao Shen, Michael Blumenstein, Guodong Long

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding.

Yang Wang, Xueping Peng, Tao Shen, Allison Clarke, Clement Schlegel, Paul Martin, Guodong Long

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Towards Robust Ranker for Text Retrieval.

Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

UniEvent: Unified Generative Model with Multi-Dimensional Prefix for Zero-Shot Event-Relational Reasoning.

Zhengwei Tao, Zhi Jin, Haiyan Zhao, Chengfeng Dou, Yongqiang Zhao, Tao Shen, Chongyang Tao

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

CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection.

Chongyang Tao, Jiazhan Feng, Tao Shen, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang

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

FAA: Fine-grained Attention Alignment for Cascade Document Ranking.

Zhen Li, Chongyang Tao, Jiazhan Feng, Tao Shen, Dongyan Zhao, Xiubo Geng, Daxin Jiang

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

2022

Fine-Grained Distillation for Long Document Retrieval.

Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Guodong Long, Can Xu, Daxin Jiang

CoRR, 2022

Adam: Dense Retrieval Distillation with Adaptive Dark Examples.

Chang Liu, Chongyang Tao, Xiubo Geng, Tao Shen, Dongyan Zhao, Can Xu, Binxing Jiao, Daxin Jiang

CoRR, 2022

CCPrompt: Counterfactual Contrastive Prompt-Tuning for Many-Class Classification.

Yang Li, Canran Xu, Tao Shen, Jing Jiang, Guodong Long

CoRR, 2022

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Few-Shot NLP.

Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang

CoRR, 2022

UnifieR: A Unified Retriever for Large-Scale Retrieval.

Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Kai Zhang, Daxin Jiang

CoRR, 2022

EventBERT: A Pre-Trained Model for Event Correlation Reasoning.

Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision.

Yang Li, Guodong Long, Tao Shen, Jing Jiang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook.

Chang Liu, Chongyang Tao, Jianxin Liang, Tao Shen, Jiazhan Feng, Quzhe Huang, Dongyan Zhao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings.

Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Social Norms-Grounded Machine Ethics in Complex Narrative Situation.

Tao Shen, Xiubo Geng, Daxin Jiang

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

Reciprocal Learning of Knowledge Retriever and Response Ranker for Knowledge-Grounded Conversations.

Jiazhan Feng, Chongyang Tao, Zhen Li, Chang Liu, Tao Shen, Dongyan Zhao

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

SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis.

Jia Li, Yuyuan Zhao, Zhi Jin, Ge Li, Tao Shen, Zhengwei Tao, Chongyang Tao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification.

Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Domain-specific meta-embedding with latent semantic structures.

Qian Liu, Jie Lu, Guangquan Zhang, Tao Shen, Zhihan Zhang, Heyan Huang

Inf. Sci., 2021

Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health.

Guodong Long, Tao Shen, Yue Tan, Leah Gerrard, Allison Clarke, Jing Jiang

CoRR, 2021

MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning.

Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Zhendong Niu, Chengqi Zhang

CoRR, 2021

Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion.

Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph.

Yucheng Zhou, Xiubo Geng, Tao Shen, Wenqiang Zhang, Daxin Jiang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Sequential Diagnosis Prediction with Transformer and Ontological Representation.

Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang

Proceedings of the IEEE International Conference on Data Mining, 2021

Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction.

Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang

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

A Green Pipeline for Out-of-Domain Public Sentiment Analysis.

Ming Xie, Jing Jiang, Tao Shen, Yang Wang, Leah Gerrard, Allison Clarke

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning.

Yucheng Zhou, Xiubo Geng, Tao Shen, Jian Pei, Wenqiang Zhang, Daxin Jiang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Multi-Center Federated Learning.

Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang

CoRR, 2020

Semantic Triple Encoder for Fast Open-Set Link Prediction.

Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang

CoRR, 2020

Self-attention Enhanced Patient Journey Understanding in Healthcare System.

Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering.

Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes.

Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning.

Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention.

Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion.

Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction.

Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering.

Tao Shen, Xiubo Geng, Tao Qin, Guodong Long, Jing Jiang, Daxin Jiang

CoRR, 2019

Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together.

Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Temporal Self-Attention Network for Medical Concept Embedding.

Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Michael Blumenstein

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base.

Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Fast Directional Self-Attention Mechanism.

Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

CoRR, 2018

Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling.

Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling.

Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

Proceedings of the 6th International Conference on Learning Representations, 2018

DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding.

Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018