VIDA: A Dataset for Visually Dependent Ambiguity in Multimodal Machine Translation

Excerpt

arXiv:2605.02035v4 Announce Type: replace-cross Abstract: Ambiguity resolution is a key challenge in multimodal machine translation (MMT), where models must genuinely leverage visual input to map an ambiguous expression to its intended meaning. Although prior work has proposed disambiguation-oriented benchmarks probing the role of vision, we observe that existing benchmarks remain limited by task-format mismatch, narrow ambiguity coverage, or insufficient visual-dependency validation. Moreover,