From Category Strings to Category Scores: A Controlled Screening Study of Transformer Output Interfaces
Extreme multi-label classification asks a model to identify a small set of relevant labels from a large catalog. A general-purpose language model can write label identifiers as text, but the same pretrained Transformer can instead score every label in one pass. We study this output-interface choice on a fixed 20,000-ex...