moonshotai/WorldVQA
WorldVQA WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models HomePage | Dataset | Paper | Code Abstract We introduce WorldVQA, a benchmark designed to evaluate the atomic vision-centric world knowledge of Multimodal Large Language Models (MLLMs). Current evaluations often conflate visual knowledge retrieval with reasoning. In contrast, WorldVQA decouples these capabilities to strictly measure "what the… See the full description on the dataset page: https://huggingface.co/datasets/moonshotai/WorldVQA.
| Author / organization | moonshotai |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 67 |
| Created | 26 January 2026 |
| Last updated at source | 4 February 2026 |
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- 17 Oct 2026 Description: WorldVQA WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models HomePage | Dataset | Paper | Code Abstract We introduce WorldVQA, a benchmark designed to evaluate the atomic vision-centric world knowledge of Multimod → WorldVQA WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models HomePage | Dataset | Paper | Code Abstract We introduce WorldVQA, a benchmark designed to evaluate the atomic vision-centric world knowledge of Multimod
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