🔥Telegram İfşa

Omw to #NeurIPS2024! I have 2 papers: - Smoothie (w Neel Guha): a test-time LLM routing approach that requires no labels/training (Thu 4:30 East) - DCLM: a benchmark for LLM data curation (Fri 4:30 West) Excited to meet new ppl & chat about data-centric AI/ test-time approaches!

Given open-ended generations from K different LLMs for an input, can we learn to select the best generation, without needing any labeled data? Introducing our #NeurIPS2024 paper, Smoothie, a label-free test-time LLM routing algorithm! 🥤 1/4

📢 Only two months until our IEEE ICRA workshop on Safely Leveraging VLMs in Robotics! #ICRA2025 🎯 How can we safely leverage vision-language foundation models to expand robot deployment? 📅 Short papers & failure demos due 04/11/23 🌐 tinyurl.com/safe-vlm

!!! I'm at #ICLR2025 to present 🧄Aioli🧄 a unified framework for data mixing on Thursday afternoon! 🔗 arxiv.org/abs/2411.05735 Message me to chat about pre/post training data (mixing, curriculum, understanding); test-time compute/verification; or to try new food 🇸🇬

Please join us tomorrow for a workshop full of interesting talks and papers at the intersection of robot safety and VLMs!

Update: After several requests, we are extending the submission deadline to June 01, 2025 (AOE)!  We'll ensure timely decisions via a rolling review process: Submit by 05/25, get a decision by the original timeline, 05/31. Submit after 05/25, get a decision by June 06.

Excited for our #RSS2025 workshop on OOD generalization in robotics today! Please join us for some amazing talks at 📍EEB 132, starting at 8:45am!

✨ Test-Time Scaling for Robotics ✨ Excited to release 🤖 RoboMonkey, which characterizes test-time scaling laws for Vision-Language-Action (VLA) models and introduces a framework that significantly improves the generalization and robustness of VLAs! 🧵(1 / N) 🌐 Website:

Understanding our data is essential to scale up robot learning. If you want to make sense of what's in your data, collect better data, or use your data to its maximum potential: Join us for an exciting workshop at #CoRL2025! 📅 Papers due: 08/22/2025 🌐 tinyurl.com/corldata25

We're hosting the 1st workshop on Making Sense of Data in Robotics at Conference on Robot Learning this year! We'll investigate what makes robot learning data "good" by discussing: 🧩 Data Composition 🧹 Data Curation 💡 Data Interpretability Paper submissions are due 8/22/2025! 🧵(1/3)

🚨 We have extended the submission deadline for the workshop until Aug 29th! 🚨 Any completed or in progress work concerning data composition, curation, and interpretability in robotics are welcome!

Join us today for a packed schedule of awesome talks on data-centric AI in robotics! #CoRL2025

A few highlights from pretraining: We did a lot of work on algorithmic mixing and upsampling! No more of manually tweaking %, we use proxy models and a robust eval suite to learn optimal distribution

Thrilled to have contributed to Olmo 3! The best fully open 32B model (data, training recipes, checkpoints and more!) As an intern at AI2 these last 8 months, I’ve grown to deeply appreciate the careful science, iteration, and collaboration that go into models like this and have