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doyoungkim-ml.bsky.social
MS & BS @kaist_ai https://doyoungkim-ml.github.io/
11 posts 1,069 followers 169 following
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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!

submitted 79 days ago • 0 comments

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!

submitted 79 days ago • 0 comments

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

submitted 79 days ago • 1 comment

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)

submitted 84 days ago • 3 comments

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!

submitted 84 days ago • 1 comment

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 🧵

submitted 84 days ago • 3 comments

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...

submitted 106 days ago • 2 comments

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! 🎓

submitted 94 days ago • 1 comment

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

submitted 100 days ago • 9 comments

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!)

submitted 103 days ago • 1 comment

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

submitted 109 days ago • 0 comments

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.

submitted 100 days ago • 2 comments