The Text Decoder: Pinpointing How Vision-Language Models ‘Read’ Images

New research reveals specific layers within these models that act as crucial bottlenecks for optical character recognition, offering a pathway to understand and control their visual processing abilities.

![The comparison of next-to-leading order (NLO) sum rules-detailed in [latex]Eqs. (65, 71, 84)[/latex]-to their leading order (LO) counterparts-defined by [latex]Eqs. (64, 69, 70, 77, 78, 79, 80)[/latex]-reveals the subtle shifts in understanding as calculations refine, all while remaining bounded by the fundamental constraints illustrated by the UU-spin limit.](https://arxiv.org/html/2602.22320v1/2602.22320v1/x1.png)
![The ferromagnetic phase exhibits a dependence between the pseudoorbital-space polar angle θ and the variables [latex]J-\lambda[/latex], particularly when [latex]t\ll\Delta_{\rm CF}\ll U[/latex] with [latex]U=20t[/latex], demonstrating a constrained relationship within specific energy scales.](https://arxiv.org/html/2602.23011v1/2602.23011v1/theta2.jpg)



![Disrupting feedback and integration pathways diminishes sustained neural activity-measured as [latex] NsN^{s}AUC [/latex]-in ipsundrum variants, suggesting a critical role for these mechanisms in maintaining post-stimulus neural persistence.](https://arxiv.org/html/2602.23232v1/2602.23232v1/x4.png)