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Peng Wang

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#machine learning Preprint Oct 2026

Gluing Local Contexts into Global Meaning: A Sheaf-Theoretic Decomposition of Transformer Representations

Existing interpretability tools do not test whether a representation keeps the same content when only the phrasing changes. We treat each paraphrase pair as a local witness that two activations should agree and build a cellular sheaf over the paraphrase graph; its Laplacian $L_\mathcal{F}$ answers the question on a fro...

Bryce Grant, Peng Wang · 1 citation
Preprint Oct 2026

Transforming Image Editors into Video Editors

Recent image editing systems have achieved impressive semantic understanding, visual fidelity, and instruction-following ability, while video editing remains substantially more difficult and costly. In this paper, we present a simple alternative to end-to-end video editing: instead of training a monolithic video editor...

Feng Wang, Zi-Jie Li, Ce-Yuan Yang et al. · 0 citations
Jun 2026

Sequential Planning via Anchored Robotic Keypoints

We present Sequential Planning via Anchored Robotic Keypoints, SPARK, a training-free neurosymbolic manipulation system that reaches 43.7% on six LIBERO-PRO position \&task cells, more than doubling CaP-Agent0 and Vision-Language-Action (VLA) baselines. CaP-Agent0, a multi-turn code-generation agent, achieves 18.2% by...

Bryce Grant, Aryeh Rothenberg, Logan Senning et al. · 0 citations

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