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Tu Vu
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2020 – today
- 2024
- [c19]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:
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. ACL (Findings) 2024: 13697-13720 - [c18]Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung:
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation. EMNLP 2024: 17086-17105 - [c17]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:
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. ICLR 2024 - [i18]Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung:
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation. CoRR abs/2407.10817 (2024) - [i17]Prateek Yadav, Tu Vu, Jonathan Lai, Alexandra Chronopoulou, Manaal Faruqui, Mohit Bansal, Tsendsuren Munkhdalai:
What Matters for Model Merging at Scale? CoRR abs/2410.03617 (2024) - 2023
- [c16]Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann:
Dialect-robust Evaluation of Generated Text. ACL (1) 2023: 6010-6028 - [c15]Cong Dao Tran, Nhut Huy Pham, Anh Nguyen, Truong Son Hy, Tu Vu:
ViDeBERTa: A powerful pre-trained language model for Vietnamese. EACL (Findings) 2023: 1041-1048 - [c14]Jie Ren, Yao Zhao, Tu Vu, Peter J. Liu, Balaji Lakshminarayanan:
Self-Evaluation Improves Selective Generation in Large Language Models. ICBINB 2023: 49-64 - [c13]Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V. Le, Barret Zoph, Jason Wei, Adam Roberts:
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning. ICML 2023: 22631-22648 - [i16]Cong Dao Tran, Nhut Huy Pham, Anh Nguyen, Truong Son Hy, Tu Vu:
ViDeBERTa: A powerful pre-trained language model for Vietnamese. CoRR abs/2301.10439 (2023) - [i15]Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V. Le, Barret Zoph, Jason Wei, Adam Roberts:
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning. CoRR abs/2301.13688 (2023) - [i14]Tu Vu, Van Thong Huynh, Soo-Hyung Kim:
Vision Transformer for Action Units Detection. CoRR abs/2303.09917 (2023) - [i13]Tu Vu, Van Thong Huynh, Soo-Hyung Kim:
Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals. CoRR abs/2305.00769 (2023) - [i12]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:
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR abs/2305.14705 (2023) - [i11]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:
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. CoRR abs/2310.03214 (2023) - [i10]Jie Ren, Yao Zhao, Tu Vu, Peter J. Liu, Balaji Lakshminarayanan:
Self-Evaluation Improves Selective Generation in Large Language Models. CoRR abs/2312.09300 (2023) - 2022
- [c12]Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou', Daniel Cer:
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer. ACL (1) 2022: 5039-5059 - [c11]Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant:
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation. EMNLP 2022: 9279-9300 - [c10]Dheeraj Mekala, Tu Vu, Timo Schick, Jingbo Shang:
Leveraging QA Datasets to Improve Generative Data Augmentation. EMNLP 2022: 9737-9750 - [i9]Dheeraj Mekala, Tu Vu, Jingbo Shang:
Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation. CoRR abs/2205.12604 (2022) - [i8]Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant:
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation. CoRR abs/2205.12647 (2022) - [i7]Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann:
Dialect-robust Evaluation of Generated Text. CoRR abs/2211.00922 (2022) - 2021
- [c9]Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer:
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning. EMNLP (1) 2021: 5715-5731 - [i6]Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer:
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning. CoRR abs/2109.06270 (2021) - [i5]Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou, Daniel Cer:
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer. CoRR abs/2110.07904 (2021) - 2020
- [c8]Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer:
Exploring and Predicting Transferability across NLP Tasks. EMNLP (1) 2020: 7882-7926 - [i4]Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer:
Exploring and Predicting Transferability across NLP Tasks. CoRR abs/2005.00770 (2020)
2010 – 2019
- 2019
- [c7]Tu Vu, Mohit Iyyer:
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification. ACL (1) 2019: 6331-6338 - [c6]An La
, Phuong Vo, Tu Vu:
Adaptive Collaborative Filtering for Recommender System. ICCS 2019: 117-130 - [i3]Tu Vu, Mohit Iyyer:
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification. CoRR abs/1906.03656 (2019) - 2018
- [j2]Thi-Lan Ngo, Tu Vu, Hideaki Takeda, Son Bao Pham, Xuan-Hieu Phan
Lifelong Learning Maxent for Suggestion Classification. Computación y Sistemas 22(4) (2018) - [j1]Tu Vu, Xuan Bui, Khoat Than, Ryutaro Ichise:
A Flexible Stochastic Method for Solving the MAP Problem in Topic Models. Computación y Sistemas 22(4) (2018) - [c5]Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu:
Sentence Simplification with Memory-Augmented Neural Networks. NAACL-HLT (2) 2018: 79-85 - [c4]Tu Vu, Vered Shwartz:
Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment. *SEM@NAACL-HLT 2018: 160-166 - [i2]Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu:
Sentence Simplification with Memory-Augmented Neural Networks. CoRR abs/1804.07445 (2018) - [i1]Tu Vu, Vered Shwartz:
Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment. CoRR abs/1804.08845 (2018) - 2017
- [c3]Duyen Do, Phuc Huynh, Phuong Vo, Tu Vu:
Customer churn prediction in an internet service provider. IEEE BigData 2017: 3928-3933 - [c2]Hau Tran, An Nguyen, Phuong Vo, Tu Vu:
DNS graph mining for malicious domain detection. IEEE BigData 2017: 4680-4685 - 2015
- [c1]Quan Hung Tran, Vu D. Tran
JAIST: Combining multiple features for Answer Selection in Community Question Answering. SemEval@NAACL-HLT 2015: 215-219
Coauthor Index
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