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#machine learning Preprint Sep 2026

Copper-Policy: Focus on the Representation for Robust Robot Manipulation

World Action Models (WAMs) acquire behavioral priors by modeling future scene evolution, but predicting detailed futures in pixel or latent space incurs substantial cost. Recent evidence that co-training gains persist without test-time generation raises a question: what must a WAM learn to improve control? We introduce...

Ze Feng, Yi-Xu Feng, Ling-Yu Xiao et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Online Video Agent Harness for Long Video Understanding

Long video understanding often behaves like a visual needle-in-a-haystack problem: query-relevant evidence is sparsely distributed across long temporal spans, while packing dense frames into a single VLM context incurs \textit{context rot} and high cost. Existing video agents often rely on query-agnostic offline prepro...

Sen Yang, Bo-Qiang Duan, Jing Yang et al. · 0 citations

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