JAIST: Combining multiple features for Answer Selection in Community Question Answering. - Quan Hung Tran; Vu D. Tran; Tu Vu; Minh Nguyen; Son Bao Pham (SemEval@NAACL-HLT, 2015)

Customer churn prediction in an internet service provider. - Duyen Do; Phuc Huynh; Phuong Vo; Tu Vu (IEEE BigData, 2017)

DNS graph mining for malicious domain detection. - Hau Tran; An Nguyen; Phuong Vo; Tu Vu (IEEE BigData, 2017)

Sentence Simplification with Memory-Augmented Neural Networks. - Tu Vu; Baotian Hu; Tsendsuren Munkhdalai; Hong Yu 001 (NAACL-HLT (2), 2018)

Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment. - Tu Vu; Vered Shwartz (*SEM@NAACL-HLT, 2018)

Lifelong Learning Maxent for Suggestion Classification. - Thi-Lan Ngo; Tu Vu; Hideaki Takeda 001; Son Bao Pham; Xuan-Hieu Phan (Computación y Sistemas, 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)

Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification. - Tu Vu; Mohit Iyyer (ACL (1), 2019)

Adaptive Collaborative Filtering for Recommender System. - An La; Phuong Vo; Tu Vu (ICCS, 2019)

Exploring and Predicting Transferability across NLP Tasks. - Tu Vu; Tong Wang 012; Tsendsuren Munkhdalai; Alessandro Sordoni; Adam Trischler; Andrew Mattarella-Micke; Subhransu Maji; Mohit Iyyer (EMNLP (1), 2020)

STraTA: Self-Training with Task Augmentation for Better Few-shot Learning. - Tu Vu; Minh-Thang Luong; Quoc V. Le; Grady Simon; Mohit Iyyer (EMNLP (1), 2021)

SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer. - Tu Vu; Brian Lester; Noah Constant; Rami Al-Rfou'; Daniel Cer (ACL (1), 2022)

Leveraging QA Datasets to Improve Generative Data Augmentation. - Dheeraj Mekala; Tu Vu; Timo Schick; Jingbo Shang (EMNLP, 2022)

Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation. - Tu Vu; Aditya Barua; Brian Lester; Daniel Cer; Mohit Iyyer; Noah Constant (EMNLP, 2022)

Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation. - Dheeraj Mekala; Tu Vu; Jingbo Shang (CoRR, 2022)

Dialect-robust Evaluation of Generated Text. - Jiao Sun; Thibault Sellam; Elizabeth Clark; Tu Vu; Timothy Dozat; Dan Garrette; Aditya Siddhant; Jacob Eisenstein; Sebastian Gehrmann (ACL (1), 2023)

ViDeBERTa: A powerful pre-trained language model for Vietnamese. - Cong Dao Tran; Nhut Huy Pham; Anh Nguyen 002; Truong Son Hy; Tu Vu (EACL (Findings), 2023)

Self-Evaluation Improves Selective Generation in Large Language Models. - Jie Ren 006; Yao Zhao; Tu Vu; Peter J. Liu; Balaji Lakshminarayanan (ICBINB, 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 (ICML, 2023)

Vision Transformer for Action Units Detection. - Tu Vu; Van Thong Huynh; Soo-Hyung Kim (CoRR, 2023)

Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals. - Tu Vu; Van Thong Huynh; Soo-Hyung Kim (CoRR, 2023)

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. - Sheng Shen 001; Le Hou; Yanqi Zhou; Nan Du 002; Shayne Longpre; Jason Wei; Hyung Won Chung; Barret Zoph; William Fedus; Xinyun Chen; Tu Vu; Yuexin Wu; et al. (CoRR, 2023)

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. - Tu Vu; Mohit Iyyer; Xuezhi Wang 002; Noah Constant; Jerry W. Wei; Jason Wei; Chris Tar; Yun-Hsuan Sung; Denny Zhou; Quoc V. Le; Thang Luong (ACL (Findings), 2024)

Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation. - Tu Vu; Kalpesh Krishna; Salaheddin Alzubi; Chris Tar; Manaal Faruqui; Yun-Hsuan Sung (EMNLP, 2024)

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. - Sheng Shen 001; Le Hou; Yanqi Zhou; Nan Du 002; Shayne Longpre; Jason Wei; Hyung Won Chung; Barret Zoph; William Fedus; Xinyun Chen; Tu Vu; Yuexin Wu; et al. (ICLR, 2024)

Topic Modeling for Short Texts via Optimal Transport-Based Clustering. - Tu Vu; Manh Do; Tung Nguyen; Ngo Van Linh 001; Sang Dinh; Thien Huu Nguyen (ACL (Findings), 2025)

HiCOT: Improving Neural Topic Models via Optimal Transport and Contrastive Learning. - Hoang Tran Vuong; Tue Le; Tu Vu; Tung Nguyen; Linh Ngo Van 001; Sang Dinh; Thien Huu Nguyen (ACL (Findings), 2025)

What Matters for Model Merging at Scale? - Prateek Yadav; Tu Vu; Jonathan Lai; Alexandra Chronopoulou; Manaal Faruqui; Mohit Bansal; Tsendsuren Munkhdalai (Trans. Mach. Learn. Res., 2025)

Few-shot Continual Relation Extraction via Open Information Extraction. - Thiem Nguyen; Anh Nguyen; Quyen Tran; Tu Vu; Diep Nguyen; Linh Ngo Van 001; Thien Huu Nguyen (CoRR, 2025)

ATEB: Evaluating and Improving Advanced NLP Tasks for Text Embedding Models. - Simeng Han; Frank Palma Gomez; Tu Vu; Zefei Li; Daniel Cer; Hansi Zeng; Chris Tar; Arman Cohan; Gustavo Hernández Ábrego (CoRR, 2025)

CoT2Align: Cross-Chain of Thought Distillation via Optimal Transport Alignment for Language Models with Different Tokenizers. - Anh Duc Le; Tu Vu; Nam Le Hai; Nguyen Thi Ngoc Diep; Linh Ngo Van 001; Trung Le 001; Thien Huu Nguyen (CoRR, 2025)

Efficient Model Development through Fine-tuning Transfer. - Pin-Jie Lin; Rishab Balasubramanian; Fengyuan Liu; Nikhil Kandpal; Tu Vu (CoRR, 2025)

SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models. - Thinh Pham; Nguyen Nguyen; Pratibha Zunjare; Weiyuan Chen; Yu-Min Tseng; Tu Vu (CoRR, 2025)