Alisa Liu
@alisawuffles.bsky.social did:plc:usfej5yc6glifzm5d73ddhvk
phd student at @uwcse
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Alisa Liu (@alisawuffles.bsky.social) é um usuário do Bluesky desde 19 novembro 2024. Tem 387 seguidores, segue 197 contas e publicou 12 posts.
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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
Ver post1. 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 +
Ver postDo 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?
Ver postVery cool, I'd love to plug SuperBPE into LMs and see how it does!
Ver postHumans 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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