VPG is a training-free inference-time guidance technique that improves autoregressive image and video generation by contrasting model outputs under generated versus corrupted prefixes to strengthen next-step support for the prefix.
author Feng, Y
4 Pith papers cite this work. Polarity classification is still indexing.
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LANG combines language-adaptive hint guidance, progressive decay, and difficulty-tailored learning horizons in RL to boost non-English reasoning performance while preserving language consistency.
DiffGap introduces adaptive alignment of denoising steps and temperature annealing in diffusion models for 3D molecule generation, reporting better docking scores and binding affinity than prior methods on CrossDocked2020.