Author

J. Li

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#artificial intelligence Preprint Oct 2026

Priming Base Models for Agentic Post-Training: An Open Midtraining Recipe

Frontier models, general-purpose and domain-specific alike, now include a midtraining stage between pretraining and post-training, but little has been published about how this stage is built. We present an open midtraining recipe that primes base models for agentic post-training, and we show its effectiveness on two Ne...

Soumye Singhal, Joseph Jennings, Ka-Shun Shum et al. · 0 citations

Preprint Jul 2026

SETA: Scaling Environments for Terminal Agents

This work constructs and releases SETA-Env, the largest open-source verifiable terminal RL dataset to date, containing over 4,500 environments, and demonstrates that SETA- Env provides high-quality training environments for terminal agents and serves as a valuable resource for advancing research on terminal-based agent...

Q. Shen, Zhiqi Huang, V. Kamanuru et al. · 8 citations · ⚡2