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Preprint Sep 2026

Harnessing Intrinsic Subject-Aware Attention for Controllable Multi-Subject Video Generation

Multi-subject video generation faces two key challenges: uncontrollable fidelity strength and potential semantic drift. We address these by analyzing the internal mechanisms of Diffusion Transformers (DiTs). We found that certain attention blocks naturally form an Intrinsic Spatial Grounding Map (ISGM) that precisely l...

N. Yu, Ye Tian, Biao-Long Chen et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Can LLMs Discover Scientific Laws in Real and Parallel Worlds?

It is found that predictive fit can diverge from scientific validity, memorization shapes whether models reproduce or move beyond published formulas, and the best-of-N study reveals a selection bottleneck.

Yi-Ming Huang, Zi-Chen Liu, Junxia Cui et al. · 2 citations

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