Author

Shohei Ohsawa

h-index 5 View on Semantic Scholar

We have 1 of 19 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Support Vector Generation: Kernelizing Zero-Shot Classiﬁers from Pre-Trained Language Models

Support Vector Generation is introduced, a kernel-based framework that converts a frozen language model into an interpretable, training-free classiﬁer for zero-and few-shot learning and suggests that SVG offers a viable path toward efﬁcient, interpretable NLP systems under compute constraints.

Shohei Ohsawa · 0 citations