Author

William Yang

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#artificial intelligence Preprint Oct 2026

Robustness of Internal Signals for Hallucination Detection in Vision-Language Models

This investigation reveals important limitations of the current methods that try to leverage internal VLM signals to detect hallucinations and suggests that strong detection performance is often driven by detecting language-based hallucinations, and when methods rely on token position, they tend to be less visually gro...

Allison Chen, William Yang, Salma Abdel Magid et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Depth as Time in One-Step Generative Models

The recent wave of one-step generative models, which compress the multi-step trajectory of diffusion via either distillation or learned flow maps, has reached an inflection point where they can generate high-quality images. Here, we ask a natural question that follows from these advances: what happens to the denoising...

Arnold Caleb Asiimwe, William Yang, Sanghyuk Chun et al. · 0 citations

Jul 2026

How are linear representations learned? Exact solutions to the dynamics of abstraction

A striking attenuation law is proved: both nonlinearities weaken abstraction in activations relative to preactivations, and the theory is applied to improve linear probe generalization in LLMs.

William Yang, Andrew M. Saxe, Peter E. Latham · arXiv.org · 0 citations