LanteRn: Latent Visual Structured Reasoning
While language reasoning models excel in many tasks, visual reasoning remains challenging for current large multimodal models (LMMs). As a result, most LMMs default to verbalizing perceptual content into text, a strong limitation for tasks requiring fine-grained spatial and visual understanding. While recent approaches take steps toward thinking with images by invoking tools or generating intermediate images, they either rely on external modules, or incur unnecessary computation by reasoning directly in pixel space. In this paper, we introduce LanteRn, a framework that enables LMMs to interleave language with compact latent visual representations, allowing visual reasoning to occur direct...
| Authors | André G. Viveiros, Nuno Gonçalves, Matthias Lindemann et al. |
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| Primary category | cs.CV |
| Published | 26 March 2026 |
| Last updated at source | 26 July 2026 |
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