Vinh Q. Tran - RankMe

34 papers A* 11Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	BIG-Bench Extra Hard. ACL (1) Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou, Sanket Vaibhav Mehta, Lalit K. Jain, Virginia Aglietti, Disha Jindal, Peter Chen, Nishanth Dikkala, Gladys Tyen, Xin Liu, Uri Shalit, Silvia Chiappa, Kate Olszewska, Yi Tay, Vinh Q. Tran, Quoc V. Le, Orhan Firat
2025	J	`jnl`	BIG-Bench Extra Hard. CoRR Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou, Sanket Vaibhav Mehta, Kshitij Jain, Virginia Aglietti, Disha Jindal, Peter Chen, Nishanth Dikkala, Gladys Tyen, Xin Liu, Uri Shalit, Silvia Chiappa, Kate Olszewska, Yi Tay, Vinh Q. Tran, Quoc V. Le, Orhan Firat
2025	A*	`conf`	Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling. ICLR Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi
2025	—	`conf`	Tomato, Tomahto, Tomate: Do Multilingual Language Models Understand Based on Subword-Level Semantic Concepts? NAACL (Findings) Crystina Zhang, Jing Lu, Vinh Q. Tran, Tal Schuster, Donald Metzler, Jimmy Lin
2024	A*	`conf`	Fractal Patterns May Illuminate the Success of Next-Token Prediction. NeurIPS Ibrahim M. Alabdulmohsin, Vinh Q. Tran, Mostafa Dehghani
2024	J	`jnl`	Fractal Patterns May Unravel the Intelligence in Next-Token Prediction. CoRR Ibrahim Alabdulmohsin, Vinh Q. Tran, Mostafa Dehghani
2024	J	`jnl`	Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling. CoRR Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi
2024	J	`jnl`	Tomato, Tomahto, Tomate: Measuring the Role of Shared Semantics among Subwords in Multilingual Language Models. CoRR Xinyu Zhang, Jing Lu, Vinh Q. Tran, Tal Schuster, Donald Metzler, Jimmy Lin
2023	A*	`conf`	DSI++: Updating Transformer Memory with New Documents. EMNLP Sanket Vaibhav Mehta, Jai Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
2023	A*	`conf`	How Does Generative Retrieval Scale to Millions of Passages? EMNLP Ronak Pradeep, Kai Hui, Jai Gupta, Ádám D. Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
2023	J	`jnl`	How Does Generative Retrieval Scale to Millions of Passages? CoRR Ronak Pradeep, Kai Hui, Jai Gupta, Ádám Dániel Lelkes, Honglei Zhuang, Jimmy Lin, Donald Metzler, Vinh Q. Tran
2023	A*	`conf`	Recommender Systems with Generative Retrieval. NeurIPS 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
2023	J	`jnl`	Recommender Systems with Generative Retrieval. CoRR 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
2023	—	`conf`	Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? EMNLP (Findings) Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
2023	A*	`conf`	Transcending Scaling Laws with 0.1% Extra Compute. EMNLP 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
2023	A*	`conf`	UL2: Unifying Language Learning Paradigms. ICLR 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
2022	A*	`conf`	A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. KDD Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman
2022	J	`jnl`	A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. CoRR Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman
2022	J	`jnl`	Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR 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
2022	A*	`conf`	Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. ICLR Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
2022	J	`jnl`	Confident Adaptive Language Modeling. CoRR Tal Schuster, Adam Fisch, Jai Prakash Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, Donald Metzler
2022	J	`jnl`	DSI++: Updating Transformer Memory with New Documents. CoRR Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler
2022	J	`jnl`	Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification. CoRR Jai Gupta, Yi Tay, Chaitanya Kamath, Vinh Q. Tran, Donald Metzler, Shailesh Bavadekar, Mimi Sun, Evgeniy Gabrilovich
2022	A*	`conf`	ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. ICLR 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
2022	J	`jnl`	Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? CoRR Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Won Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Q. Tran, Dani Yogatama, Donald Metzler
2022	J	`jnl`	Transcending Scaling Laws with 0.1% Extra Compute. CoRR 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
2022	J	`jnl`	Transformer Memory as a Differentiable Search Index. CoRR 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
2022	J	`jnl`	Unifying Language Learning Paradigms. CoRR Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Neil Houlsby, Donald Metzler
2021	—	`conf`	AgreeSum: Agreement-Oriented Multi-Document Summarization. ACL/IJCNLP (Findings) Richard Yuanzhe Pang, Ádám Dániel Lelkes, Vinh Q. Tran, Cong Yu
2021	J	`jnl`	AgreeSum: Agreement-Oriented Multi-Document Summarization. CoRR Richard Yuanzhe Pang, Ádám D. Lelkes, Vinh Q. Tran, Cong Yu
2021	J	`jnl`	Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. CoRR Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Prakash Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
2021	J	`jnl`	ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. CoRR 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
2021	A*	`conf`	Quiz-Style Question Generation for News Stories. WWW Ádám D. Lelkes, Vinh Q. Tran, Cong Yu
2021	J	`jnl`	Quiz-Style Question Generation for News Stories. CoRR Ádám D. Lelkes, Vinh Q. Tran, Cong Yu