J.Nathan Yan @NathanYan2012
Research Scientist @GoogleDeepMind and Ph.D. @CornellCIS/@cornell_tech. I bake my own opinions. nathanyanjing.github.io New York Joined July 2014-
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It is the time to rethink the role of tokenization, and to tailor/develop the right model architecture to support the token-free models! Albert again did it!
It is the time to rethink the role of tokenization, and to tailor/develop the right model architecture to support the token-free models! Albert again did it!
wowowow!!! this is super cool!!!
wowowow!!! this is super cool!!!
Thanks @9to5mac for summarizing our research on TARFlow/STARFlow! It is an exciting direction of reviving normalizing flow with modern scalable techniques… and more will come!
Thanks @9to5mac for summarizing our research on TARFlow/STARFlow! It is an exciting direction of reviving normalizing flow with modern scalable techniques… and more will come!
I will be attending #CVPR2025 and presenting our latest research at Apple MLR! Specifically, I will present our highlight poster--world consistent video diffusion (cvpr.thecvf.com/virtual/2025/p…), and three workshop invited talks which includes our recent preprint ★STARFlow★! (0/n)
I will be attending #CVPR2025 and presenting our latest research at Apple MLR! Specifically, I will present our highlight poster--world consistent video diffusion (cvpr.thecvf.com/virtual/2025/p…), and three workshop invited talks which includes our recent preprint ★STARFlow★! (0/n)
🔥Thrilled to share that I’ll be joining the Computer Science Department at NYU Shanghai as an Assistant Professor starting Fall 2025! @nyushanghai 🎯 I’ll be recruiting PhD students across the entire NYU network—including @nyushanghai, @nyutandon, and @NYU_Courant—to build…
# Embeddings are underrated (2024) just a really excellent piece of technical writing.
I will be attending #ICLR2025 in person during Apr 24-28, and presenting our research: DART: Denoising Autoregressive Transformer 📌Fri 25 Apr 3 p.m. +08 — 5:30 p.m. +08 This is my first time visiting Singapore, and I am looking forward to chatting with old and new friends!
I will be attending #ICLR2025 in person during Apr 24-28, and presenting our research: DART: Denoising Autoregressive Transformer 📌Fri 25 Apr 3 p.m. +08 — 5:30 p.m. +08 This is my first time visiting Singapore, and I am looking forward to chatting with old and new friends!
Today, we're releasing a new paper – One-Minute Video Generation with Test-Time Training. We add TTT layers to a pre-trained Transformer and fine-tune it to generate one-minute Tom and Jerry cartoons with strong temporal consistency. Every video below is produced directly by…
Some personal news: I recently joined Cursor. Cursor is a small, ambitious team, and they’ve created my favorite AI systems. We’re now building frontier RL models at scale in real-world coding environments. Excited for how good coding is going to be.
How well do data-selection methods work for instruction-tuning at scale? Turns out, when you look at large, varied data pools, lots of recent methods lag behind simple baselines, and a simple embedding-based method (RDS) does best! More below ⬇️ (1/8)
I've uploaded the latest slides & beamer source code to github.com/sustcsonglin/l…. Hopefully this repository will help train an LLM that generates Beamer slides better than I do :)
I've uploaded the latest slides & beamer source code to github.com/sustcsonglin/l…. Hopefully this repository will help train an LLM that generates Beamer slides better than I do :)
Introducing the first open-source implementation of native sparse attention: github.com/fla-org/native…. Give it a spin and cook your NSA model! 🐳🐳🐳
🚀 Announcing ASAP: asap-seminar.github.io! A fully virtual seminar bridging theory, algorithms, and systems to tackle fundamental challenges in Transformers. Co-organized by @simran_s_arora @Xinyu2ML @HanGuo97 Our first speaker: @heyyalexwang on Test-time Regression
Got talked into giving a DeepSeek talk this afternoon simons.berkeley.edu/workshops/llms… Not sure I have anything new to say here! But good excuse for me to read all the blogs.
🚀Thrilled to share our paper "DART" has been accepted by #ICLR2025! Congrats to my amazing collaborators @YuyangW95 @YizheZhangNLP @QihangZhang0224 @zdhnarsil Navdeep Jaitly @jsusskin @zhaisf! Please also check the updated version with more results at arxiv.org/abs/2410.08159
🚀Thrilled to share our paper "DART" has been accepted by #ICLR2025! Congrats to my amazing collaborators @YuyangW95 @YizheZhangNLP @QihangZhang0224 @zdhnarsil Navdeep Jaitly @jsusskin @zhaisf! Please also check the updated version with more results at arxiv.org/abs/2410.08159
spent the last month building my own framework to train a diffusion model from scratch. it was hard almost like i just learned to cast an ancient spell that requires lots of mysterious steps and ingredients. for a long time i was trying, and nothing happened. but when it…
In this video, I'll be deriving and coding Flash Attention from scratch. No prior knowledge of CUDA or Triton is required. Link to the video: youtu.be/zy8ChVd_oTM All the code will be written in Python with Triton, but no prior knowledge of Triton is required. I'll also…
The most beautiful thing on LLM reasoning is that the thought process is generated in an autoregressive way, rather than relying on search (e.g. mcts) over the generation space, whether by a well-finetuned model or a carefully designed prompt.
How far is an LLM from not only understanding but also generating visually? Not very far! Introducing MetaMorph---a multimodal understanding and generation model. In MetaMorph, understanding and generation benefit each other. Very moderate generation data is needed to elicit…
Experience Gemini 2.0 Flash Thinking—the fast and transparent reasoning model that reveals its thought process in real-time! This breakthrough brings us one step closer to deeper, more reliable AI understanding. Try it now!
Experience Gemini 2.0 Flash Thinking—the fast and transparent reasoning model that reveals its thought process in real-time! This breakthrough brings us one step closer to deeper, more reliable AI understanding. Try it now!
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JAEHYEONG_KIM @jhk40160806
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Mengdi Xu @mengdixu_
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Jiajing Guo @jiajing_guo
659 Followers 727 Following Research Engineer @boschusa. HCI, intelligent interface, human-AI collaboration, @CornellInfoSci. Yoga and illustration.
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Charlie Snell @sea_snell
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648 Followers 233 Following PhD in Robotics. Robot Learning. Robotics Institute, CMU.
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65K Followers 1K Following Recently started @thinkymachines. Interested in reinforcement learning, alignment, birds, jazz music
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clem 🤗 @ClementDelangue
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Hongjie Wang @HongjieWang3
323 Followers 288 Following PhD candidate @ Princeton University | Research Scientist Intern @ Meta GenAI | ex Research Scientist Intern @ Adobe | Efficient ML | Image & Video Generation
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Jiuhai Chen @JiuhaiC
678 Followers 2K Following CS Phd student @ UMD Ex-intern @Meta @Microsoft @Amazon On the industry job market
Debajyoti (Debo) Datt... @debo_datta_
303 Followers 2K Following Co-Founder @HippocraticAI | PhD @UVa | Ex Amazon (AWS) Interests: Differential Geometry, Tensor Decomposition, Large Language Models, Healthcare
Orion Weller @orionweller
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EMNLP 2025 @emnlpmeeting
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The Nobel Prize @NobelPrize
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