Alisa Liu

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• Jacob Eisenstein@jacobeisenstein.bsky.social22-03-2025 17:59

  3. the default dynamics of the alternative that you’re proposing are rich-get-richer with limited incentive for quality. i think you can see this quality issue in the not-for-peer-review reports that, ahem, some of the big LLM labs put out

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• Jacob Eisenstein@jacobeisenstein.bsky.social22-03-2025 17:59

  1. from a macro perspective (progress of the field, not individual decisions), peer review has a great track record 2. it’s a somewhat fair and noisy signal of quality that can draw attention to papers that wouldn’t otherwise get read +

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• Yoav Artzi@yoavartzi.com21-03-2025 20:59

  Do you get idioms? Because one would think that is where this is mostly needed ("kicked the bucket"), but BPE usually works based on raw counts, so "kicked the bucket" might not win the frequency game. Right?

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• meff@meff.bsky.social21-03-2025 20:55

  Very cool, I'd love to plug SuperBPE into LMs and see how it does!

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• Valentin Hofmann@valentinhofmann.bsky.social21-03-2025 20:37

  Humans store thousands of multi-word expressions like "of course" in their mental lexicon, but current tokenizers don't support multi-word tokens. Enter SuperBPE, a tokenizer that lifts this restriction and brings substantial gains in efficiency and performance! 🚀 Details 👇

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