LaViSA is a new benchmark that pairs structurally ambiguous sentences with images of their disambiguated meanings to evaluate VLMs on visual resolution of ambiguity.
An Examination of the Compositionality of Large Generative Vision-Language Models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
LaViSA: A Language and Vision Structural Ambiguity Benchmark
LaViSA is a new benchmark that pairs structurally ambiguous sentences with images of their disambiguated meanings to evaluate VLMs on visual resolution of ambiguity.