Tu Vu

52 papers A* 7Misc 1Journal 29Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
EvoSkill: Automated Skill Discovery for Multi-Agent Systems.
CoRR
Salaheddin Alzubi, Noah Provenzano, Jaydon Bingham, Weiyuan Chen, Tu Vu
2026 J jnl
PRISM: Pushing the Frontier of Deep Think via Process Reward Model-Guided Inference.
CoRR
Rituraj Sharma, Weiyuan Chen, Noah Provenzano, Tu Vu
2026 J jnl
ROMA: Recursive Open Meta-Agent Framework for Long-Horizon Multi-Agent Systems.
CoRR
Salaheddin Alzubi, Baran Nama, Arda Kaz, Anushri Eswaran, Weiyuan Chen, Sarvesh Khetan, Rishab Bala, Tu Vu, Sewoong Oh
2025 J jnl
ATEB: Evaluating and Improving Advanced NLP Tasks for Text Embedding Models.
CoRR
Simeng Han, Frank Palma Gomez, Tu Vu, Zefei Li, Daniel Cer, Hansi Zeng, Chris Tar, Arman Cohan, Gustavo Hernández Ábrego
2025 J jnl
CoT2Align: Cross-Chain of Thought Distillation via Optimal Transport Alignment for Language Models with Different Tokenizers.
CoRR
Anh Duc Le, Tu Vu, Nam Le Hai, Nguyen Thi Ngoc Diep, Linh Ngo Van, Trung Le, Thien Huu Nguyen
2025 A* conf
EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments.
EMNLP
Minh-Phuc Truong, Hai An Vu, Tu Vu, Nguyen Thi Ngoc Diep, Linh Van Ngo, Thien Huu Nguyen, Trung Le
2025 A* conf
Efficient Model Development through Fine-tuning Transfer.
EMNLP
Pin-Jie Lin, Rishab Balasubramanian, Fengyuan Liu, Nikhil Kandpal, Tu Vu
2025 J jnl
Efficient Model Development through Fine-tuning Transfer.
CoRR
Pin-Jie Lin, Rishab Balasubramanian, Fengyuan Liu, Nikhil Kandpal, Tu Vu
2025 J jnl
Few-shot Continual Relation Extraction via Open Information Extraction.
CoRR
Thiem Nguyen, Anh Nguyen, Quyen Tran, Tu Vu, Diep Nguyen, Linh Ngo Van, Thien Huu Nguyen
2025 — conf
HiCOT: Improving Neural Topic Models via Optimal Transport and Contrastive Learning.
ACL (Findings)
Hoang Tran Vuong, Tue Le, Tu Vu, Tung Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen
2025 J jnl
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models.
CoRR
Thinh Pham, Nguyen Nguyen, Pratibha Zunjare, Weiyuan Chen, Yu-Min Tseng, Tu Vu
2025 — conf
Topic Modeling for Short Texts via Optimal Transport-Based Clustering.
ACL (Findings)
Tu Vu, Manh Do, Tung Nguyen, Ngo Van Linh, Sang Dinh, Thien Huu Nguyen
2025 J jnl
What Matters for Model Merging at Scale?
Trans. Mach. Learn. Res.
Prateek Yadav, Tu Vu, Jonathan Lai, Alexandra Chronopoulou, Manaal Faruqui, Mohit Bansal, Tsendsuren Munkhdalai
2024 A* conf
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation.
EMNLP
Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung
2024 J jnl
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation.
CoRR
Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung
2024 — conf
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation.
ACL (Findings)
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
2024 A* conf
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.
ICLR
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
2024 J jnl
What Matters for Model Merging at Scale?
CoRR
Prateek Yadav, Tu Vu, Jonathan Lai, Alexandra Chronopoulou, Manaal Faruqui, Mohit Bansal, Tsendsuren Munkhdalai
2023 — conf
Dialect-robust Evaluation of Generated Text.
ACL (1)
Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann
2023 J jnl
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.
CoRR
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
2023 J jnl
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation.
CoRR
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
2023 J jnl
Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals.
CoRR
Tu Vu, Van Thong Huynh, Soo-Hyung Kim
2023 — conf
Self-Evaluation Improves Selective Generation in Large Language Models.
ICBINB
Jie Ren, Yao Zhao, Tu Vu, Peter J. Liu, Balaji Lakshminarayanan
2023 J jnl
Self-Evaluation Improves Selective Generation in Large Language Models.
CoRR
Jie Ren, Yao Zhao, Tu Vu, Peter J. Liu, Balaji Lakshminarayanan
2023 A* conf
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning.
ICML
Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V. Le, Barret Zoph, Jason Wei, Adam Roberts
2023 J jnl
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning.
CoRR
Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V. Le, Barret Zoph, Jason Wei, Adam Roberts
2023 — conf
ViDeBERTa: A powerful pre-trained language model for Vietnamese.
EACL (Findings)
Cong Dao Tran, Nhut Huy Pham, Anh Nguyen, Truong Son Hy, Tu Vu
2023 J jnl
ViDeBERTa: A powerful pre-trained language model for Vietnamese.
CoRR
Cong Dao Tran, Nhut Huy Pham, Anh Nguyen, Truong Son Hy, Tu Vu
2023 J jnl
Vision Transformer for Action Units Detection.
CoRR
Tu Vu, Van Thong Huynh, Soo-Hyung Kim
2022 J jnl
Dialect-robust Evaluation of Generated Text.
CoRR
Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann
2022 J jnl
Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation.
CoRR
Dheeraj Mekala, Tu Vu, Jingbo Shang
2022 A* conf
Leveraging QA Datasets to Improve Generative Data Augmentation.
EMNLP
Dheeraj Mekala, Tu Vu, Timo Schick, Jingbo Shang
2022 A* conf
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation.
EMNLP
Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant
2022 J jnl
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation.
CoRR
Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant
2022 — conf
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer.
ACL (1)
Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou', Daniel Cer
2021 J jnl
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer.
CoRR
Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou, Daniel Cer
2021 — conf
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning.
EMNLP (1)
Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer
2021 J jnl
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning.
CoRR
Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer
2020 — conf
Exploring and Predicting Transferability across NLP Tasks.
EMNLP (1)
Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer
2020 J jnl
Exploring and Predicting Transferability across NLP Tasks.
CoRR
Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer
2019 Misc conf
Adaptive Collaborative Filtering for Recommender System.
ICCS
An La, Phuong Vo, Tu Vu
2019 — conf
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification.
ACL (1)
Tu Vu, Mohit Iyyer
2019 J jnl
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification.
CoRR
Tu Vu, Mohit Iyyer
2018 J jnl
A Flexible Stochastic Method for Solving the MAP Problem in Topic Models.
Computación y Sistemas
Tu Vu, Xuan Bui, Khoat Than, Ryutaro Ichise
2018 — conf
Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment.
*SEM@NAACL-HLT
Tu Vu, Vered Shwartz
2018 J jnl
Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment.
CoRR
Tu Vu, Vered Shwartz
2018 J jnl
Lifelong Learning Maxent for Suggestion Classification.
Computación y Sistemas
Thi-Lan Ngo, Tu Vu, Hideaki Takeda, Son Bao Pham, Xuan-Hieu Phan
2018 — conf
Sentence Simplification with Memory-Augmented Neural Networks.
NAACL-HLT (2)
Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu
2018 J jnl
Sentence Simplification with Memory-Augmented Neural Networks.
CoRR
Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu
2017 — conf
Customer churn prediction in an internet service provider.
IEEE BigData
Duyen Do, Phuc Huynh, Phuong Vo, Tu Vu
2017 — conf
DNS graph mining for malicious domain detection.
IEEE BigData
Hau Tran, An Nguyen, Phuong Vo, Tu Vu
2015 — conf
JAIST: Combining multiple features for Answer Selection in Community Question Answering.
SemEval@NAACL-HLT
Quan Hung Tran, Vu D. Tran, Tu Vu, Minh Nguyen, Son Bao Pham