When in context

How researchers see this paper

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

STaR: Bootstrapping Reasoning With Reasoning (2022, background): “Some have studied in-context learning based on the language modeling objective in terms of Bayesian inference [13] while others have attempted to describe the process more mechanistically in terms of “induction heads” [14].”
Industry 4.0, global value chains and international business (2017, unknown): “The further growth of digital platforms for the distribution of products (e.g. Amazon, Alibaba) should also make it easier for small ﬁ rms to enter global markets[8].”