arxivcs.LG2026-07-20
Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks
Damien Teney, Liangze Jiang, Hemanth Saratchandran, Simon Lucey
Transformers are remarkably versatile and their design is largely consistent across a variety of applications. But are they optimal for any given task or dataset? The answer may be key for pushing AI beyond merely scaling current designs. *Method.* We present a method to optimize…