Jako Tako or Fluent? Presenting PoVisLE: A Polish Vision-Language Evaluation
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Computer Science > Computation and Language
Title:Jako Tako or Fluent? Presenting PoVisLE: A Polish Vision-Language Evaluation
Abstract:Vision-language models (VLMs) have achieved strong performance on tasks such as image captioning, visual question answering, and image-to-text generation. However, they are predominantly trained on English-centric data, which limits their ability to handle culturally grounded visual understanding and leads to failures in interpreting region-specific meanings, symbolic content, and context-dependent visual cues. Existing benchmarks for cultural competence are often template-driven and focused on surface-level recognition, making them insufficient for evaluating deeper linguistic and pragmatic understanding in culturally situated settings. We introduce PoVisLE, a monocultural vision-language benchmark for Polish designed to evaluate culturally grounded multimodal understanding under a grounded evaluation paradigm, where language is interpreted in interaction with visual context. The dataset contains 1,117 images and 2,366 manually annotated VQA pairs. Overall, our dataset provides a controlled and challenging resource for assessing culturally grounded vision-language understanding beyond surface-level recognition.
| Comments: | 28 pages. Preprint under review |
| Subjects: | Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV) |
| Cite as: | arXiv:2608.07763 [cs.CL] |
| (or arXiv:2608.07763v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2608.07763
arXiv-issued DOI via DataCite (pending registration)
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