🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Congratulations to Snorkel's co-founder Paroma Varma on being named one of @inc’s 2025 Female Founders 500. Her vision & leadership continue to inspire all of us at Snorkel AI as we work to push AI innovation forward! 👏 More details: bit.ly/4iIl2yL

[LG] Compute Optimal Scaling of Skills: Knowledge vs Reasoning N Roberts, N Chatterji, S Narang, M Lewis... [University of Wisconsin & GenAI at Meta] (2025) arxiv.org/abs/2503.10061

📉📉NEW SCALING LAW PHENOMENON 📉📉 We find that knowledge and reasoning exhibit different scaling behaviors! Super excited to finally tell you all about our paper on the compute optimal scaling of skills: arxiv.org/pdf/2503.10061 [1/n]

Excited for Snorkel AI to be featured on the Forbes AI50 list again- thank you Rashi Shrivastava & team for the great work on this piece!

Today at #ICLR2025---come chat with Changho Shin about our work on what types of data drive weak-to-strong generalization!

🎉 Excited to present our #ICLR2025 work—leveraging future medical outcomes to improve pretraining for prognostic vision models. 🖼️ "Time-to-Event Pretraining for 3D Medical Imaging" 👉 Hall 3+2B #23 📍 Sat 26 Apr, 10 AM–12:30 PM 🔗 iclr.cc/virtual/2025/p…

Want to align LLMs and text-to-image models to heterogeneous preferences? Check out our #ICLR2025 paper on learning personalizable rewards (PAL) in a sample efficient way. iclr.cc/virtual/2025/p… When: Friday Apr 25th from 10 am Where: Hall 3 + Hall 2B #196, Poster Session 3

If you're are ICLR, please check out Ying Fan's work on looped Transformers!

I'm joining UW–Madison Computer Sciences UW School of Computer, Data & Information Sciences as an assistant professor in fall 2026!! There, I'll continue working on language models, computational social science, & responsible AI. 🌲🧀🚣🏻‍♀️ Apply to be my PhD student! Before then, I'll postdoc for a year at another UW🏔️ -- UW NLP Allen School.

Agentic AI will transform every enterprise–but only if agents are trusted experts. The key: Evaluation & tuning on specialized, expert data. I’m excited to announce two new products to support this–Snorkel AI Evaluate & Expert Data-as-a-Service–along w/ our $100M Series D! ---

Scale alone is not enough for AI data. Quality and complexity are equally critical. Excited to support all of these for LLM developers with Snorkel AI Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point:

🚨Test-time scaling for code has a MASSIVE scalability issue on the horizon: the time to verify a candidate. ✅ORMs are a scalable solution through a generate-prune-then-rank approach. ✅This can be 11.65x faster than the full verification while only being 8.33% less accurate

Very exciting work on using weak supervision for RL- closing the “generation-verification gap”!! Once again- principled approaches to labeling/data development are the keys!