maitrix-org/WM-ABench
WM-ABench: An Atomic Evaluation Benchmark of World Modeling abilities of Vision-Language Models Paper: Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation WM-ABench is a comprehensive benchmark that evaluates whether Vision-Language Models (VLMs) can truly understand and simulate physical world dynamics, or if they rely on shortcuts and pattern-matching. The benchmark covers 23 dimensions of world modeling across 6 physics simulators with over 100… See the full description on the dataset page: https://huggingface.co/datasets/maitrix-org/WM-ABench.
| Author / organization | maitrix-org |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 517 (as reported by Hugging Face) |
| Likes | 12 |
| Created | 10 May 2025 |
| Last updated at source | 29 August 2025 |
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- 17 Oct 2026 Description: WM-ABench: An Atomic Evaluation Benchmark of World Modeling abilities of Vision-Language Models Paper: Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation WM-ABench is a comprehensive benchmark that evaluates → WM-ABench: An Atomic Evaluation Benchmark of World Modeling abilities of Vision-Language Models Paper: Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation WM-ABench is a comprehensive benchmark that evaluates
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