MultimodalOnline
ASCIIBench
Measures four-choice recognition of ASCII art from text-only, rendered-image, and combined inputs.
- Task count
- 5,135
There are 51 multimodal in the index.
51 benchmarks
MultimodalOnline
Measures four-choice recognition of ASCII art from text-only, rendered-image, and combined inputs.
MultimodalOnline
Measures core visual perception abilities through multiple-choice tasks designed to resist verbal shortcuts.
MultimodalOnline
Measures visual and logical reasoning over charts with human-authored and generated questions.
MultimodalOnline
Measures image-caption compatibility without requiring reference captions by comparing CLIP embeddings.
MultimodalOnline
Evaluates whether vision-language models can read analog clocks across varied faces and times.
MultimodalOnline
Evaluates text-to-video generation; the repository provides model code and references for the original CogVideo and later CogVideoX systems.
MultimodalOnline
Measures the distributional similarity of real and generated videos using learned video embeddings.
MultimodalOnline
Evaluates whether a text-to-image model produces images people prefer for the same prompt.
MultimodalOnline
Tests image classifiers on naturally occurring, unmodified images selected because standard ImageNet models misclassify them.
MultimodalOnline
Tests ImageNet classifiers on artistic and other non-photographic renditions of 200 object classes.
MultimodalOnline
Retests ImageNet classifiers on three independently collected 10,000-image test sets matched to the original distribution.
MultimodalOnline
Compares conditional image generation and editing systems across standardized tasks, metrics, and human ratings.
MultimodalOnline
Measures how closely text-to-image outputs align with human preferences using a learned reward model trained on expert comparisons.
MultimodalOnline
Evaluates video action recognition across human-object and human-human interactions in short clips.
MultimodalOnline
Tests understanding of hour-long videos whose questions require reasoning across interleaved frames, subtitles, and long contexts.
MultimodalOnline
Tests visual mathematical reasoning on competition problems spanning 16 subjects and five difficulty levels.
MultimodalOnline
Tests mathematical reasoning grounded in diagrams and other visual contexts across diverse task types.
MultimodalOnline
Tests long-video understanding through multiple-choice and free-form tasks requiring local and global comprehension.
MultimodalOnline
Measures how well multimodal models integrate recognition, OCR, knowledge, language, spatial, and mathematical capabilities.
MultimodalOnline
Measures broad multimodal model capabilities with multiple-choice questions spanning 20 ability dimensions.
MultimodalOnline
Measures perception and cognition in multimodal language models across 14 manually designed subtasks.
MultimodalOnline
Measures expert-level multimodal reasoning across college disciplines, subjects, and heterogeneous image types.
MultimodalOnline
Measures robust expert-level multimodal reasoning after filtering text-solvable items and strengthening answer choices.
MultimodalOnline
Measures vision-essential multimodal capabilities using human-selected samples filtered to resist text-only solving and leakage.
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