Tran, Vinh Q.

6 publications

ICLR 2025 Smaller, Weaker, yet Better: Training LLM Reasoners via Compute-Optimal Sampling Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi

NeurIPS 2024 Fractal Patterns May Illuminate the Success of Next-Token Prediction Ibrahim Alabdulmohsin, Vinh Q. Tran, Mostafa Dehghani

NeurIPSW 2024 Smaller, Weaker, yet Better: Training LLM Reasoners via Compute-Optimal Sampling Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi

ICLR 2023 UL2: Unifying Language Learning Paradigms Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Steven Zheng, Denny Zhou, Neil Houlsby, Donald Metzler

ICLR 2022 Charformer: Fast Character Transformers via Gradient-Based Subword Tokenization Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler

ICLR 2022 ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Gupta, Kai Hui, Sebastian Ruder, Donald Metzler