Presents Entity-Rubrics and AbstractEdit benchmark to measure image editing models on abstract intent, finding standard models struggle to balance edit intent with image preservation.
Make it count: Text-to-image generation with an accurate number of objects
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
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2026 2representative citing papers
A 235-item multimodal stress-test shows frontier closed models outpace open-weight peers by ~10% and leaves shared failures on counting, spatial, and character-level tasks.
citing papers explorer
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Editor's Choice: Evaluating Abstract Intent in Image Editing through Atomic Entity Analysis
Presents Entity-Rubrics and AbstractEdit benchmark to measure image editing models on abstract intent, finding standard models struggle to balance edit intent with image preservation.
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Blind-Spots-Bench: Evaluating Blind Spots in Multimodal Models
A 235-item multimodal stress-test shows frontier closed models outpace open-weight peers by ~10% and leaves shared failures on counting, spatial, and character-level tasks.