We stand with Ukraine

We stand with Ukraine

Tao Shen

Orcid: 0000-0003-3315-2468

Affiliations:

University of Technology Sydney, Sydney, Australia
Microsoft

According to our database¹, Tao Shen authored at least 67 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2024

Dual-Personalizing Adapter for Federated Foundation Models.

[BibT_eX]

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Michael Blumenstein

CoRR, 2024

Meta-Task Prompting Elicits Embedding from Large Language Models.

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CoRR, 2024

A Survey on Knowledge Distillation of Large Language Models.

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CoRR, 2024

Leveraging Large Language Models for NLG Evaluation: A Survey.

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CoRR, 2024

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

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

2023

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

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World Wide Web (WWW), January, 2023

Good Questions Help Zero-Shot Image Reasoning.

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CoRR, 2023

Thread of Thought Unraveling Chaotic Contexts.

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CoRR, 2023

Re-Reading Improves Reasoning in Language Models.

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CoRR, 2023

Spatial-temporal Prompt Learning for Federated Weather Forecasting.

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CoRR, 2023

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

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CoRR, 2023

Large Language Models are Strong Zero-Shot Retriever.

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CoRR, 2023

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

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CoRR, 2023

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

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Proceedings of the ACM Web Conference 2023, 2023

Dimension-Prompts Boost Commonsense Consolidation.

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

UnifieR: A Unified Retriever for Large-Scale Retrieval.

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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.

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

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

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

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

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

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

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

[BibT_eX]

[DOI]

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Michael Blumenstein

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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.

[BibT_eX]

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Clement Schlegel

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

Towards Robust Ranker for Text Retrieval.

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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.

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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.

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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.

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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.

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CoRR, 2022

Adam: Dense Retrieval Distillation with Adaptive Dark Examples.

[BibT_eX]

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CoRR, 2022

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

[BibT_eX]

[DOI]

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CoRR, 2022

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

[BibT_eX]

[DOI]

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CoRR, 2022

UnifieR: A Unified Retriever for Large-Scale Retrieval.

[BibT_eX]

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CoRR, 2022

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

[BibT_eX]

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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.

[BibT_eX]

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

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

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

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

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

Social Norms-Grounded Machine Ethics in Complex Narrative Situation.

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

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

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

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

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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.

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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.

[BibT_eX]

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Guangquan Zhang

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Inf. Sci., 2021

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

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CoRR, 2021

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

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CoRR, 2021

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

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

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

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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.

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Proceedings of the IEEE International Conference on Data Mining, 2021

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

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

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

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

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

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

2020

Multi-Center Federated Learning.

[BibT_eX]

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CoRR, 2020

Semantic Triple Encoder for Fast Open-Set Link Prediction.

[BibT_eX]

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CoRR, 2020

Self-attention Enhanced Patient Journey Understanding in Healthcare System.

[BibT_eX]

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

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

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

BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes.

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

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

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

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

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

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

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

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

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

2019

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

[BibT_eX]

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CoRR, 2019

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

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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.

[BibT_eX]

[DOI]

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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.

[BibT_eX]

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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.

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CoRR, 2018

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

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

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

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

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

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

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