Author

Zheng Wei

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Jul 2026

ProLaViT: Learning Progressive Latent Visual Thoughts in Structured Latent Space

This paper introduces ProLaViT (Progressive Latent Visual Thought), a framework empowering MLLMs to perform structured visual derivation in the continuous latent space, leveraging an endogenous self-distillation mechanism, utilizing the model's own visual encoder to supervise latent thoughts.

Peiming Li, Yifan Wang, Xiaotian Zhang et al. · arXiv.org · 1 citation

#natural language process... Preprint Aug 2026

Beyond Global Scalars: Synergizing Token-Level Statistics and Deep Semantics for Adversarial AIGC Text Detection

The proposed NeuroStat framework captures uncompressed token-level probabilistic logits alongside deep semantic hidden states from a single causal language model backbone through Macro-State Residual Modulation, which adaptively calibrates local convolutional features using global uncertainty indicators.

Peiming Li, Yifan Wang, Zhiyuan Hu et al. · 0 citations