Instability of LLM text embeddings for unsupervised dimension reduction of tabular data
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Large language model (LLM) text embeddings have recently been used for supervised learning on tabular data by serializing each observation into text and then converting the text into a dense fixed-length vector. This strategy is appealing for biomedical tabula... ...
