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#artificial intelligence Preprint Sep 2026

SkillRubric: Co-Evolving Actor Guidance and Evaluator Rubrics for Multimodal Agents

Recent work incorporates reusable skills distilled from past interactions into multimodal agent training, providing procedural guidance for long-horizon planning and tool use. However, policy optimization in these methods remains driven primarily by sparse outcome rewards, providing little supervision for intermediate...

Bing Jiang, Guo-Xi Zhang, Jasper Wang et al. · 0 citations
Preprint Aug 2026

Mismatch Matters: On-Policy Distillation Beyond Token Agreement

On-policy distillation (OPD) has emerged as a core component of modern LLM post-training pipelines, yet we reveal a failure mode: degenerate agreement, where students exploit repetitive loops to achieve near-perfect token agreement with the teacher despite globally flawed responses. We therefore shift our focus from ag...

Zichao Yu, Chengzhi Yu, Shengze Xu et al. · 1 citation

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