DogNeverSleep/Artifact-Bench
Artifact-Bench Paper | Github Artifact-Bench is a comprehensive benchmark for evaluating whether Multimodal Large Language Models (MLLMs) can truly detect and reason about the artifacts of AI-generated videos. Instead of focusing only on semantic understanding, Artifact-Bench emphasizes artifact-aware realism perception and fine-grained video analysis across photorealistic, animated, and CG-style domains. Tasks Artifact-Bench defines three complementary tasks:… See the full description on the dataset page: https://huggingface.co/datasets/DogNeverSleep/Artifact-Bench.
| Author / organization | DogNeverSleep |
|---|---|
| License (as declared) | other |
| Downloads | 421 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 14 May 2026 |
| Last updated at source | 21 May 2026 |
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- 16 Oct 2026 Description: Artifact-Bench Paper | Github Artifact-Bench is a comprehensive benchmark for evaluating whether Multimodal Large Language Models (MLLMs) can truly detect and reason about the artifacts of AI-generated videos. Instead of focusing only on se → Artifact-Bench Paper | Github Artifact-Bench is a comprehensive benchmark for evaluating whether Multimodal Large Language Models (MLLMs) can truly detect and reason about the artifacts of AI-generated videos. Instead of focusing only on se
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