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5 results for “vision-language models”
Jako Tako or Fluent? Presenting PoVisLE: A Polish Vision-Language Evaluation
Researchers introduced PoVisLE, a Polish-specific vision-language benchmark with 1,117 images and 2,366 VQA pairs, designed to evaluate culturally grounded multimodal understanding beyond surface-level recognition.
Aug 11, 2026
CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models
Researchers introduced CARPRT, a class-aware prompt reweighting method for zero-shot image classification with black-box vision-language models, improving accuracy by modeling prompt-class dependencies without requiring model training or fine-tuning.
Jul 18, 2026
Reward Valuation in Vision Language Models: Causal Mechanisms Underlying Anhedonia
Researchers use clinical neuroscience methods to identify and causally test reward-anticipatory units in vision-language models, finding perturbations induce anhedonia-like behavioral shifts without impairing core task performance.
Jul 10, 2026
Evaluation of Multilingual Ability to Use Spatial Deictic Expressions in Vision-Language Models
Researchers introduced a new multilingual benchmark to evaluate how vision-language models handle spatial deictic expressions (e.g., 'this'/'that') across four languages, finding consistent divergence from human usage patterns in distance-based demonstrative selection.
Jul 10, 2026
Does AI Understand Imaging? A Systematic Benchmark of Agentic AI for Computational Imaging Tasks
Researchers introduced ImagingBench, a new benchmark testing whether agentic AI systems can solve physics-based computational imaging tasks — revealing consistent underperformance versus task-specific non-agentic methods, especially in inverse and sensing problems.
Jul 10, 2026