Papers by Hyung Chung
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? (2023.findings-emnlp)
Copied to clipboard
Yi Tay, Mostafa Dehghani, Samira Abnar, Hyung Chung, William Fedus, Jinfeng Rao, Sharan Narang, Vinh Tran, Dani Yogatama, Donald Metzler
| Challenge: | Existing studies on the scaling properties of model architectures have not explored the impact of inductive biases on scaling behaviour. |
| Approach: | They conduct extensive experiments to understand scaling behaviour of ten different model architectures. |
| Outcome: | The results show that the best performing model can fluctuate at different scales. |
Transcending Scaling Laws with 0.1% Extra Compute (2023.emnlp-main)
Copied to clipboard
Yi Tay, Jason Wei, Hyung Chung, Vinh Tran, David So, Siamak Shakeri, Xavier Garcia, Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc Le, Mostafa Dehghani
| Challenge: | Existing scaling of language models is expensive and requires significant computational costs. |
| Approach: | They propose a method that substantially improves existing language models and their scaling curves with a relatively tiny amount of extra compute. |
| Outcome: | The proposed method significantly improves existing language models and their scaling curves with a relatively tiny amount of extra compute. |