Tu Vu

According to our database, Tu Vu authored at least 26 papers between 2015 and 2024.

Collaborative distances:

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

2024

What Matters for Model Merging at Scale?

Prateek Yadav, Tu Vu, Jonathan Lai, Alexandra Chronopoulou, Manaal Faruqui, Mohit Bansal, Tsendsuren Munkhdalai

CoRR, 2024

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.

Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation.

Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung

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

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation.

Tu Vu, Mohit Iyyer, Xuezhi Wang, Noah Constant, Jerry W. Wei, Jason Wei, Chris Tar, Yun-Hsuan Sung, Denny Zhou, Quoc V. Le, Thang Luong

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

2023

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.

Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou

CoRR, 2023

Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals.

Tu Vu, Van Thong Huynh, Soo-Hyung Kim

CoRR, 2023

Vision Transformer for Action Units Detection.

Tu Vu, Van Thong Huynh, Soo-Hyung Kim

CoRR, 2023

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning.

Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V. Le, Barret Zoph, Jason Wei, Adam Roberts

Proceedings of the International Conference on Machine Learning, 2023

Self-Evaluation Improves Selective Generation in Large Language Models.

Jie Ren, Yao Zhao, Tu Vu, Peter J. Liu, Balaji Lakshminarayanan

Proceedings of the Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 2023

ViDeBERTa: A powerful pre-trained language model for Vietnamese.

Cong Dao Tran, Nhut Huy Pham, Anh Nguyen, Truong Son Hy, Tu Vu

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

Dialect-robust Evaluation of Generated Text.

Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann

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

2022

Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation.

Dheeraj Mekala, Tu Vu, Jingbo Shang

CoRR, 2022

Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation.

Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant

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

Leveraging QA Datasets to Improve Generative Data Augmentation.

Dheeraj Mekala, Tu Vu, Timo Schick, Jingbo Shang

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

SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer.

Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou', Daniel Cer

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

2021

STraTA: Self-Training with Task Augmentation for Better Few-shot Learning.

Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer

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

2020

Exploring and Predicting Transferability across NLP Tasks.

Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer

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

2019

Adaptive Collaborative Filtering for Recommender System.

An La, Phuong Vo, Tu Vu

Proceedings of the Graph-Based Representation and Reasoning, 2019

Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification.

Tu Vu, Mohit Iyyer

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

A Flexible Stochastic Method for Solving the MAP Problem in Topic Models.

Tu Vu, Xuan Bui, Khoat Than, Ryutaro Ichise

Computación y Sistemas, 2018

Lifelong Learning Maxent for Suggestion Classification.

Thi-Lan Ngo, Tu Vu, Hideaki Takeda, Son Bao Pham, Xuan-Hieu Phan

Computación y Sistemas, 2018

Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment.

Tu Vu, Vered Shwartz

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

Sentence Simplification with Memory-Augmented Neural Networks.

Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

DNS graph mining for malicious domain detection.

Hau Tran, An Nguyen, Phuong Vo, Tu Vu

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Customer churn prediction in an internet service provider.

Duyen Do, Phuc Huynh, Phuong Vo, Tu Vu

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015

JAIST: Combining multiple features for Answer Selection in Community Question Answering.

Quan Hung Tran, Vu D. Tran, Tu Vu, Minh Nguyen, Son Bao Pham

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015