Latte transfers LLM latent-state knowledge via a knowledge adapter and unsupervised meta-learning, claiming SOTA few-shot tabular performance, though its own evaluation contradicts that claim on Diabetes.
Tabpfn: A transformer that solves small tabular classification prob- lems in a second
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Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning
Latte transfers LLM latent-state knowledge via a knowledge adapter and unsupervised meta-learning, claiming SOTA few-shot tabular performance, though its own evaluation contradicts that claim on Diabetes.