DeepRubric is introduced, a data construction framework that first determines what an evidence-backed report should be evaluated on and then synthesizes aligned query--rubric pairs from those evaluation targets, achieving comparable performance to prior open state-of-the-art deep research models across three benchmarks...
Ming-Hang Zhu, Chu-Yang Wei, Jun Xu et al.· arXiv.org· 5 citations
Harness self-evolution revises an agent's software scaffolding, including prompts, memory, workflows, and executable components, while keeping model weights fixed. We formalize a feedback-driven process in which accepted revisions persist across runs. The framework separates update targets from proposal and admission m...
Chu-Yang Wei, Hao-Xiang Guan, Ming-Hang Zhu et al.· 0 citations
In this work, we present ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data, system, and algorithmic efficiency. ZGCM-1 is founded on a core premise: compact models cannot passively memorize the open web, but can overcome parametric capacity limits by coupling deliberate internal thin...
Ji-Yan He, Guang Liang, Hao Liu et al.· 0 citations
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