LLM embeddings improve adaptation to tabular -shifts with few labeled examples.
problem Improving robustness to -shifts in tabular data.
method Serializing tabular data to LLM embeddings and fine-tuning for adaptation.
result LLM embeddings can be adapted to target domains with minimal labeled data.