Summary of Scratcheval: Are Gpt-4o Smarter Than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges, by Rao Fu et al.
ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges
by Rao Fu, Ziyang Luo, Hongzhan Lin, Zhen Ye, Jing Ma
First submitted to arxiv on: 28 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes ScratchEval, a novel benchmark to evaluate the visual programming reasoning ability of large multimodal models (LMMs). The existing image-to-code benchmarks are limited in evaluating LMMs’ multimodal understanding and logic reasoning capacities. ScratchEval is designed based on Scratch, a block-based visual programming language used in children’s education. It integrates visual elements and embedded programming logic, requiring the model to process both visual information and code structure, and evaluates its ability to understand programming intent. The evaluation approach focuses on unified logical thinking and problem-solving abilities, providing a more comprehensive framework for evaluating LMMs’ visual programming abilities. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a new way to test how good computers are at writing code based on pictures. Right now, we’re only testing these computer programs on simple tasks where they have to turn pictures into code. But that’s not the same as really understanding what the code is saying. The new test, called ScratchEval, is like a puzzle that requires the computer program to understand both pictures and code together. This helps us see if the computer program can actually think logically about what it’s doing. This is important because we want to make sure these programs are good at helping kids learn programming. |
