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If you're misusing LLMs to solve TC^0 problems, which is what the paper is about, then... you also don't need the slop lavine. You can just inject a bunch of filler tokens yourself.
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still doesn't mean all tokens are useful. it's the point of benchmarks
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Care to share the benchmarks backing the claims in this repo?
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