sequencesto
Sequencesto is a term used in discussions of sequence transformation tasks within computer science and data processing. It denotes problems where an input sequence is transformed into an output sequence according to a model or rule. The term is not tied to a single formal definition and has appeared in diverse contexts, from natural language processing to symbolic computation, as a convenient shorthand for general sequence-to-sequence mapping.
In a sequencesto problem, one specifies an input alphabet X and an output alphabet Y, along with
Common approaches rely on transformer-based models with attention, trained with cross-entropy and teacher forcing or its
Sequencesto encompasses a range of applications, including machine translation, text summarization, code generation, speech-to-text, and forecasting
The term remains informal; it gained traction in academic and blog discussions in the 2010s and 2020s