3 papers
cs.LG2026
Length Generalization Bounds for Transformers
Andy Yang, Pascal BergsträÃer, Georg Zetzsche +2
Length generalization is a key property of a learning algorithm that enables it to make correct predictions on inputs of any length, given finite training data. To provide such a g…
cs.CL2026
Probability Distributions Computed by Autoregressive Transformers
Andy Yang, Anej Svete, Jiaoda Li +4
Most expressivity results for transformers treat them as language recognizers -- devices that accept or reject strings -- rather than as they are used in practice: as language mode…
cs.LG2025
The Transformer Cookbook
Andy Yang, Christopher Watson, Anton Xue +6
We present the transformer cookbook: a collection of techniques for directly encoding algorithms into a transformer's parameters. This work addresses the steep learning curve of su…