Author

Chao Zhang

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#artificial intelligence Preprint Sep 2026

Rufus-Air: An Open LLM Post-Training Recipe

Rufus-Air is an open and reproducible post-training recipe on GLM-4.5-Air-Base (106B-A12B), organized as a serial pipeline of eight stages: SFT, Reasoning RL, Coding RL, Instruction-Following RL, General Agent, Coding Agent, Search Agent, and RLHF. We document the data, reward design, infrastructure, stage order, and s...

Chia-yuan Chang, Ren-Yuan Cheng, Rui Feng et al. · 0 citations

#artificial intelligence Jun 2026

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards

QUBRIC, a framework that co-designs queries and rubrics can make rubric-based RL a practical complement to RLVR beyond strictly verifiable tasks, provides evidence that co-designing queries and rubrics can make rubrics a practical complement to RLVR beyond strictly verifiable tasks.

Rongzhi Zhang, Rui Feng, Zhi-Han Zhang et al. · arXiv.org · 0 citations