AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

ExBind: A Controlled Diagnostic Benchmark for Visual-to-Executable Correspondence

arXiv · AI, language, vision and robotics · article · Sep 1, 2026 · UTC

Multimodal coding and editing systems must map a visible or semantic referent to the exact executable object that can be edited. A wrong reference may select a valid but incorrect DOM node, SVG element, graph endpoint, hierarchy member, or table cell, while final execution success alone does not reveal the source of the failure. ExBind isolates this visual-to-executable correspondence layer as a controlled diagnostic benchmark between semantic localization and action execution. It samples representation-independent latent binding instances and compiles them into SVG, DOM, canvas, tree, graph,

Read original source ↗ Open in workspace

recordType
paper
region
Global

Evidence & attribution

First collected: 2026-09-21T06:01:56.170Z. This is not the publication date.