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Qingyu Yin

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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

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. · 0 citations
Jul 2026

Process Reward Informed Tree Rollout for Effective Multi-Turn RL

This work proposes Process-Scorer Guided Adaptive Tree Rollout (PATR), a quality-aware rollout framework for multi-turn agent RL that uses task-appropriate process feedback to score partial trajectories, selectively branches from promising states, reuses shared prefixes, and conservatively stops degenerate paths to red...

Xintong Li, Sha Li, Yuwei Zhang et al. · 0 citations

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