Author

M. Baghshah

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#artificial intelligence Preprint Sep 2026

Understanding Decision-Making Mechanisms in Neural Routing Solvers

Three representative autoregressive NCO models spanning two encoder-decoder configurations are investigated, suggesting that AM and POMO predominantly follow a persistent geometric pattern throughout solution construction, whereas LEHD contains linearly accessible information about multiple future actions.

Fatemeh Askari, Mazdak Teymourian, Mohammad Izadi et al. · 0 citations

Preprint Aug 2026

VISTA: Test-Time Compositional Alignment for Visual Autoregressive Generation

VISTA is the first gradient-based test-time alignment framework for next-scale autoregressive image generation, and introduces the mechanisms needed to make such optimization stable across scales, together with an extensible objective space that any differentiable constraint on cross-attention can plug into.

Hossein Shahabadi, Niki Sepasian, Mahdieh Soleymani Baghshah · 0 citations