🚀 Thrilled to announce I'll be joining NYU CS Department as first PhD student of Prof. Sherry Yang! Honored to be pioneering her lab's research in world models, working on general intelligence in both language and robotics. Stay tuned for what we build! #NYU #PhDLife

I am also presenting this work at #NeurIPS2024! Find me at:
Future NLP Workshop: Dec 10, 11:25-12:25, Theatre C300, UBC Robson Square
Compositional Learning Workshop: Dec 15, Room 118-120
Interested in tree search for llm, planning w/ world models, or test time scale? Feel free to contact!

I am also presenting this work at #NeurIPS2024! Find me at:
Future NLP Workshop: Dec 10, 11:25-12:25, Theatre C300, UBC Robson Square
Compositional Learning Workshop: Dec 15, Room 118-120
Interested in tree search for llm, planning w/ world models, or test time scale? Feel free to contact!

Humans excel at extrapolating from simple input—far beyond a ‘stochastic parrot.’ Are language models destined to fall short?

This year, I explored this question primarily in the Gridworld domain. Wrapping up my research, I made a blog including key results and takeaways:
bit.ly/3ZpJQUw

I'm excited about scaling up robot learning! We’ve been scaling up data gen with RL in realistic sims generated from crowdsourced videos. Enables data collection far more cheaply than real world teleop. Importantly, data becomes *cheaper* with more environments and transfers to real robots! 🧵 (1/N)

I'm on the academic job market!
I develop autonomous systems for: programming, research-level question answering, finding sec vulnerabilities & other useful+challenging tasks.
I do this by building frontier-pushing benchmarks and agents that do well on them.
See you at NeurIPS!

I’m on the academic job market this year! I’m completing my @uwcse.bsky.social @uwnlp.bsky.social Ph.D. (2025), focusing on overcoming LLM limitations like hallucinations, by building new LMs.
My Ph.D. work focuses on Retrieval-Augmented LMs to create more reliable AI systems 🧵

Talk: Speculations on Test-Time Scaling

A tutorial on the technical aspects behind OpenAI's o1 and open research questions in this space.

youtu.be/6PEJ96k1kiw
Slides+bibliography: github.com/srush/awesom...

Hello Bluesky! 👋 I'm an MS student at KAIST AI, researching how to make decision-making agent that can learn and adapt more like humans do. I have strong background in Math & CS, passionate about NLP, Robotics, RL, Cognitive Science.
I'm currently looking for PhD positions starting Fall 2025! 🎓

A starter pack of starter packs:

Robotics and AI go.bsky.app/DfAoaJ1
Computer Vision go.bsky.app/PkAKJu5
Computer Graphics Research go.bsky.app/ckQ1u9
Grumpy Machine Learners go.bsky.app/6ddpivr
Reinforcement Learning go.bsky.app/3WPHcHg

I’m recruiting PhD students to join the Computational Minds and Machines Lab at the University of Washington in Seattle! Join us to work at the intersection of computational cognitive science and AI with a broad focus on social intelligence. (Please reshare!)

Papers at #EMNLP2024 #1

Statistical Uncertainty in Word Embeddings: GloVe-V

Neural models, from word vectors through transformers, use point estimate representations. They can have large variances, which often loom large in CSS applications.

Tue Nov 12 15:15-15:30 Flagler

I did an unscientific, uncontrolled experiment for #EMNLP2024—details in 🧵👇. I posted my conference & workshop papers to 5 socials. Clear results: Mastodon is near dead, Threads may have users but not my people, not giving up on X/Twitter yet, but Bluesky is worth investing in.