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Zicheng Zhang

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#artificial intelligence Preprint Oct 2026

Advancement or Acceleration? How Data Curation Improves LLM Training

It is shown that advancement requires a correctable train-target gap, and the condition is operationalized as the $\Delta$-test, an observable discrepancy between the uncurated baseline's training and target losses that is computable prior to expensive curation.

Jia-Xing Wang, Zi-Cheng Zhang, De-Ping Xiang et al. · 0 citations
Preprint Aug 2026

EgoTac: In-the-wild Tactile Prediction from Egocentric Vision

Overall, EgoTac provides a scalable pathway to extract tactile priors from egocentric human videos, enabling broadly applicable tactile-aware robot learning.

Wen-Kang Zhang, Chengbo Yuan, Zicheng Zhang et al. · 1 citation · ⚡1

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