Yonatan Oren
About
At Armadin, I work on pushing the performance-per-dollar frontier for large agentic systems spanning hundreds of thousands of sub-agents, including post-training models for cybersecurity tasks. Previously, I was a member of the research team at Together AI, where I worked on large-scale pre-training data and efficient inference.
Experience
Armadin
2025–present
Building AI agents for offensive security.
Together AI
2023–2025
Pre-training: RedPajama dataset.
Inference & speculative decoding: blog post.
Stanford University
B.Sc. Mathematics (2020), M.Sc. Computer Science (2021–2023).
Papers
Oren*, Meister*, Chatterji*, Ladhak, Hashimoto
Best paper runner-up
ICLR
2024
Weber, Fu, Anthony, Oren, et al.
Spotlight
NeurIPS
2024
Oren*, Sagawa*, Hashimoto*, Liang
EMNLP
2019
Hashimoto, Guu, Oren, Liang
NeurIPS
2018
Guu*, Hashimoto*, Oren, Liang
TACL
2018