Criticality in Formal Languages and Statistical Physics∗

By Henry W. Lin, Max Tegmark. 2017

Subfields: AI for Physical Sciences

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yi Tay
2. Yoshua Bengio
3. Mohit Bansal
4. Percy Liang
5. Luke S. Zettlemoyer
6. Quoc V. Le
7. Zhe Gan
8. Timo Schick

Citations in the corpus

• Scaling Laws for Neural Language Models (2020, background): “This may be a consequence of underlying power-law correlations in language [EP94, ACDE12, LT16], or a more general feature of the model architecture and optimization.”