Vinh Q. Tran

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 25

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Publications

Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc Le, Mostafa Dehghani
Transcending Scaling Laws with 0.1% Extra Compute. EMNLP (2023)
Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan H. Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy
Recommender Systems with Generative Retrieval. CoRR (2023)
Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Denny Zhou, Neil Houlsby, Donald Metzler
UL2: Unifying Language Learning Paradigms. ICLR (2023)
Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP (Findings) (2023)
Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Mahesh Sathiamoorthy
Recommender Systems with Generative Retrieval. NeurIPS (2023)
Ronak Pradeep, Kai Hui, Jai Gupta, Ádám D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
How Does Generative Retrieval Scale to Millions of Passages? EMNLP (2023)
Ronak Pradeep, Kai Hui, Jai Gupta, Ádám Dániel Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
How Does Generative Retrieval Scale to Millions of Passages? CoRR (2023)
Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? CoRR (2022)
Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR (2022)
Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler
Transformer Memory as a Differentiable Search Index. CoRR (2022)
Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. ICLR (2022)
Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Neil Houlsby, Donald Metzler
Unifying Language Learning Paradigms. CoRR (2022)
Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. CoRR (2022)
Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. KDD (2022)
Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
DSI++: Updating Transformer Memory with New Documents. CoRR (2022)
Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. ICLR (2022)
Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V. Le, Mostafa Dehghani
Transcending Scaling Laws with 0.1% Extra Compute. CoRR (2022)
Jai Gupta, Yi Tay, Chaitanya Kamath, Vinh Q. Tran, Donald Metzler, Shailesh Bavadekar, Mimi Sun, Evgeniy Gabrilovich
Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification. CoRR (2022)
Tal Schuster, Adam Fisch, Jai Prakash Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, Donald Metzler
Confident Adaptive Language Modeling. CoRR (2022)
Richard Yuanzhe Pang, Ádám D. Lelkes, Vinh Q. Tran, Cong Yu
AgreeSum: Agreement-Oriented Multi-Document Summarization. CoRR (2021)
Richard Yuanzhe Pang, Ádám Dániel Lelkes, Vinh Q. Tran, Cong Yu
AgreeSum: Agreement-Oriented Multi-Document Summarization. ACL/IJCNLP (Findings) (2021)
Ádám D. Lelkes, Vinh Q. Tran, Cong Yu
Quiz-Style Question Generation for News Stories. CoRR (2021)
Ádám D. Lelkes, Vinh Q. Tran, Cong Yu
Quiz-Style Question Generation for News Stories. WWW (2021)
Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. CoRR (2021)
Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Prakash Gupta, Kai Hui, Sebastian Ruder, Donald Metzler
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. CoRR (2021)