Reading group
The Snorkel AI Reading Group (SARG) is a recurring forum for researchers and practitioners to explore the latest frontier developments in AI while building meaningful connections within the community.
We’ll dive into the most talked-about research in benchmarking and evaluation, pressure-test the ideas, share our POV, and bring in the authors themselves for open discussion.
Paper reading //
September 02, 2026, Virtual
OS World 2.0 (Virtual)
Mengqi Yuan
PhD Student,
Hong Kong University (XLangNLP)
↳ Register now
Past events
Past
Continal Learning Bench
with Parth Asawa, PhD Student, UC Berkeley
Past
Train-to-Test (T²) Scaling Laws
with Nicholas Roberts, Postdoctoral Research Fellow,
UW-Madison
↳ Watch recap
Past
Agents’ Last Exam
with Yiyou Sun, Postdoctoral Researcher, UC Berkeley
with Xinyang Han, PhD Student, UC Berkeley
↳ Watch recap
Past
JUDGMENTBENCH: Comparing Rubric and Preference Evaluation for Quality Assessment
with Russell Yang, AI Engineering Fellow, Stanford Law School
↳ Watch recap
Past
Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration
with Yijia Shao, PhD candidate, Stanford NLP
↳ Watch recap
Past
Improving LLM Agents with Code World Models & AutoHarness
with Carter Wendelken, Google Deepmind
↳ Watch recap
Past
Olmix: A Framework for Data Mixing Throughout LM Development
with Mayee Chen, PhD Candidate, Stanford AI Lab; Founding Scientist, Stealth Startup
↳ Watch recap