Who's Who of AI

Jacob Eisenstein

630 trust researcher @jacobeisenstein.bsky.social · 5,672 followers
NLP & language AI research Models & releases
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Researcher with public evidence across NLP & language, AI research, Models & releases.

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past 30d
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past 30d
Latest signal
11d ago
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natural language processing and computational linguistics at google deepmind.
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TAG mentioned! at #colm2026 (by @adinawilliams.bsky.social maybe?) in context of this really cool paper on compound tokenization arxiv.org/abs/2610.055...

More Than Words: Compositional Tokenization for Efficient Language Models arxiv.org
AI Weekly's analysis →
  • CoBPE represents phrases as a base token plus reusable surface modifiers composed in embedding space, shortening sequences by about 30% versus standard BPE.
  • At 780M and 1.3B parameter scales under matched training compute, CoBPE improved average downstream task performance by 1.2 points over BPE.
  • Authors Yuval Reif, Guy Kaplan and Roy Schwartz frame the result as moving part of what token sequences carry into structured representations.
Read full analysis →
View on Bluesky · ♥ 6 ↻ 0 ↩ 3 · 11d ago

It’s a small, biased sample, but my AC batch for @colmweb.org was miles better than the papers i reviewed for NeurIPS: more creative, more rigorous, better written. Maybe AI research isn’t doomed to 2-3 omni-conferences after all?

COLM 2026 colmweb.org
View on Bluesky · ♥ 19 ↻ 2 ↩ 1 · 2 from the directory shared this · 113d ago
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