Andy J Yang @pentagonalize
Joined May 2020-
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Following1K
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"A calculator app? Anyone could make that." Not true. A calculator should show you the result of the mathematical expression you entered. That's much, much harder than it sounds. What I'm about to tell you is the greatest calculator app development story ever told.
Rare footage of the brilliance of Zakir Hussain
BPE is a greedy method to find a tokeniser which maximises compression! Why don't we try to find properly optimal tokenisers instead? Well, it seems this is a very difficult—in fact, NP-complete—problem!🤯 New paper + P. Whittington, @GregorBachmann1 :) arxiv.org/abs/2412.15210
Drop by @pentagonalize's poster tomorrow on the relationship between transformers and first-order logic! neurips.cc/virtual/2024/p… Wed 4:30-7:30 East Exhibit Hall A-C #2310
Excited to head to @NeurIPSConf today! I'll be presenting our work on the representational capabilities of Transformers and RNNs/SSMs. If you're interested in meeting up to discuss research or chat, feel free to reach out via DM or email!
First-time NeurIPS attendee here! Super excited to talk about our paper with @yveitsman, @mhahn29 and to discover the amazing work by everyone else :D neurips.cc/virtual/2024/p…
First-time NeurIPS attendee here! Super excited to talk about our paper with @yveitsman, @mhahn29 and to discover the amazing work by everyone else :D neurips.cc/virtual/2024/p…
A new gate was needed at the South Bend airport, so officials decided to upgrade the business center at the same time. southbendtribune.com/story/news/202…
📜New preprint w/ @nlpnoah and @yanaiela that evaluates the novelty of LM-generated text using our n-gram search tool Rusty-DAWG 🐶 Code: github.com/viking-sudo-rm… Paper: arxiv.org/abs/2406.13069
Stick-Breaking Attention: Out-of-box length extrapolation, thanks to removing the position embedding; Better performance than Softmax+RoPE on almost every task; Similar efficient implementation like Flash Attention. Do we still need Softmax+RoPE for Language Models?…
The World's First Transformer ASIC You ask, “What would you do with 500,000 tokens per second?” Build real AI applications! Current inference limitations hold us back from doing anything beyond immediately generating the first response for users. etched.com
❓ Thank You, Stingray ❓ Today’s LLMs are so powerful with strong general problem solving capabilities spanning across multiple languages. But, can LLMs disambiguate the semantic meaning across different languages? Our new paper delves deeper to answer this very question!
When do transformers length-generalize? Generalizing to sequences longer than seen during training is a key challenge for transformers. Some tasks see success, others fail — but *why*? We introduce a theoretical framework to understand and predict length generalization.
Joint work with @pentagonalize, Dana Angluin, Peter Cholak, and Anand Pillay
Joint work with @pentagonalize, Dana Angluin, Peter Cholak, and Anand Pillay
Fabの続き。タマコロへの変形まとめて変換しました。テーマ決めてやったほうがモチベあがっていいかも。これで4分の1くらいは終わったかな。カブクワが多いので標本みたいに一つにまとめたほうがいいかもな〜
Fabの続き。タマコロへの変形まとめて変換しました。テーマ決めてやったほうがモチベあがっていいかも。これで4分の1くらいは終わったかな。カブクワが多いので標本みたいに一つにまとめたほうがいいかもな〜 https://t.co/yzJZdecU9L
What makes some LM interpretability research “mechanistic”? In our new position paper in @BlackboxNLP, @sarahwiegreffe and I argue that the practical distinction was never technical, but a historical artifact that we should be—and are—moving past to bridge communities.
Pigmy hippopotamus Designed by Busi Folded by Monica #origami
Congratulations to @taguchi_c for winning a @lucy_institute Societal Impact Award for his work on creating language technologies for the Kichwa language community in Ecuador! @ND_CSE youtube.com/watch?v=HjsNOE…

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