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Pei-Ze Li

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#machine learning Preprint Oct 2026

Triage-PiEvo: Evidence Admission for Principle-Evolving Scientific Agents

Large language model (LLM)-based AI Scientists advance scientific discovery, yet they suffer from inefficiencies due to noisy observations. Existing principle-evolving agents act on every anomaly, leaving its source unresolved: a new mechanism or an evaluation artifact, so invalid revisions bias evolution. To address t...

Pei-Ze Li, Ying-Ming Pu, Xing-Guo Xu et al. · 0 citations
Preprint Sep 2026

PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models

Qualitative examples show the PhysBrain 1.5 model's ability to produce end-effector trajectories and predict future scenes through spatially aligned RGB, depth, and robot-mask outputs.

DeepCybo Team, Yue Bin, Hai-Peng Cao et al. · 0 citations

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