declare-lab/PuzzleVQA
Paper | Code | Dataset About Large multimodal models extend the impressive capabilities of large language models by integrating multimodal understanding abilities. However, it is not clear how they can emulate the general intelligence and reasoning ability of humans. As recognizing patterns and abstracting concepts are key to general intelligence, we introduce PuzzleVQA, a collection of puzzles based on abstract patterns. With this dataset, we evaluate large multimodal models… See the full description on the dataset page: https://huggingface.co/datasets/declare-lab/PuzzleVQA.
| Author / organization | declare-lab |
|---|---|
| Downloads | 1.7K (as reported by Hugging Face) |
| Likes | 13 |
| Created | 7 August 2024 |
| Last updated at source | 26 February 2025 |
Recent changes
- 16 Oct 2026 Description: Paper | Code | Dataset About Large multimodal models extend the impressive capabilities of large language models by integrating multimodal understanding abilities. However, it is not clear how they can emulate the general intelligence and r → Paper | Code | Dataset About Large multimodal models extend the impressive capabilities of large language models by integrating multimodal understanding abilities. However, it is not clear how they can emulate the general intelligence and r
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