Tu Vu

Tu Vu

College of Information and Computer Sciences
University of Massachusetts Amherst

Computer Science Building
140 Governors Drive, Amherst, MA 01003

Office: Room 266 - UMass NLP Lab
Email: [first-name][last-name]@cs.umass.edu
Twitter: @tuvuumass

About me

I am a Ph.D. candidate in the College of Information and Computer Sciences (CICS) at University of Massachusetts Amherst (UMass Amherst), where I work with Professor Mohit Iyyer (since Fall 2018) in the UMass Natural Language Processing group (UMass NLP). Currently, I also spend one day a week as a student researcher at Google AI Language/Google Brain.

Prior to joining UMass Amherst, I received my B.S. in Computer Science from Vietnam National University, Hanoi. I have spent a couple of semesters as a research intern/student researcher at Google AI Language in Mountain View (Summer 2021, Summer 2020), Google Brain in Mountain View (Spring 2021, Winter 2020) and Microsoft Research in Montreal (Summer 2019).


Along with my advisor, I work on problems that lie at the intersection of natural language processing (NLP) and deep learning. My research interests lie broadly in using unsupervised learning, semi-supervised learning, and transfer learning methods that exploit large volumes of unlabeled data or beneficial relationships among tasks to improve learning in target tasks with limited or no labeled data available. Research directions in this vein that I am currently exploring include:

Recent News


Teaching Assistant:

Fall 2021: Advanced Natural Language Processing (COMPSCI 685)
Fall 2020: Advanced Natural Language Processing (COMPSCI 685)

Fall 2019: Introduction to Natural Language Processing (COMPSCI 585)

Fall 2018: Introduction to Natural Language Processing (COMPSCI 585)

Spring 2018: Machine Learning (COMPSCI 589)

Service & Outreach

Program Committee/Reviewer: ARR 2021; ACL 2019, 2020, 2021; EMNLP 2020, 2021; NAACL-HLT 2021; COLING 2020; CoNLL 2019; INLG 2019, 2020
Co-reviewer/Secondary Reviewer: ICLR 2019, 2020; NAACL-HLT 2019

Recent Preprints/Publications

For an up-to-date list of my papers, please see my Google Scholar profile.

SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer.
Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou, Daniel Cer
arXiv preprint.

STraTA: Self-Training with Task Augmentation for Better Few-shot Learning.
Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer
To appear at the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021).
PDF Slides

Exploring and Predicting Transferability across NLP Tasks.
Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020).
PDF Slides

Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification.
Tu Vu, Mohit Iyyer
In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019).
PDF Poster

Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment.
Tu Vu, Vered Shwartz
In Proceedings of the 7th Joint Conference on Lexical and Computational Semantics (*SEM 2018) co-located with NAACL-HLT 2018.

Sentence Simplification with Memory-Augmented Neural Networks.
Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu
In Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018).


Favorite Quote

"Kites rise highest against the wind, not with it." – Sir Winston Churchill.

Major NLP Conferences Calendar 2021

Conference Submission Date Notification Date Conference Date Location
ACL 2022 November 15, 2021 February 20, 2022 May 22–27, 2022 Dublin, Ireland
NAACL-HLT 2022 January 15, 2022 April 7, 2022 July 10–15, 2022 Seattle, Washington


Email: [first-name][last-name]@cs.umass.edu