Tao Shen
Orcid: 0000-0003-3315-2468Affiliations:
- University of Technology Sydney, Sydney, Australia
- Microsoft
According to our database1,
Tao Shen
authored at least 74 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
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.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
World Wide Web (WWW), January, 2023
Knowledge Refinement via Interaction Between Search Engines and Large Language Models.
CoRR, 2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
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.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
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.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
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.
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.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
CoRR, 2022
CoRR, 2022
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.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Reciprocal Learning of Knowledge Retriever and Response Ranker for Knowledge-Grounded Conversations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis.
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.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
CoRR, 2021
MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning.
CoRR, 2021
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering.
CoRR, 2019
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018