activity
20192026
most citedOpen-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy

2 citations · 4 across the 4 of their papers we have counts for

collaborators
Showing 2026Show all

1 paper · 1 filter

cs.CV2026

NegT2IBench: When Negation Changes the Picture. A Polarity Benchmark for Text-to-Image Models

Omar Elfatairy, Maria A. Bravo, Jessica Bader +1

Text-to-image (T2I) models are judged by benchmarks that measure whether requested content appears, but these benchmarks largely overlook the complementary ability to satisfy negat…