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Wasn't there a paper recently about a fairly simple wrapper around a common conpression algorithm beating LLMs on classification tasks?

I thought that was about LLMs being trained on compressed data. But I might be thinking about a different paper.

Gzip + kNN for text classification:

Not LLM, just BERT, also did not actually outperform it.