Summary of Rethinking Vlms and Llms For Image Classification, by Avi Cooper et al.
Rethinking VLMs and LLMs for Image Classification
by Avi Cooper, Keizo Kato, Chia-Hsien Shih, Hiroaki Yamane, Kasper Vinken, Kentaro Takemoto, Taro Sunagawa, Hao-Wei Yeh, Jin Yamanaka, Ian Mason, Xavier Boix
First submitted to arxiv on: 3 Oct 2024
Categories
- Main: Machine Learning (cs.LG)
- 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 investigates the role of Large Language Models (LLMs) in enhancing the capabilities of Visual Language Models (VLMs). The authors explore how VLMs can be improved for object and scene recognition tasks when used independently or combined with LLMs. They find that VLMs without LLMs perform better on these tasks, but leveraging LLMs improves performance on reasoning-based tasks. To address this trade-off, the authors propose a lightweight fix using an LLM router trained on a dataset of visual tasks and model accuracy. This approach surpasses or matches state-of-the-art alternatives while improving cost-effectiveness. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how we can make computer vision models better at recognizing objects and scenes. Right now, these models are being used with language models to do even more impressive things. But what happens when they work alone? The authors did lots of tests with different models and datasets to figure out the best way to use them. They found that when the language model is added, it helps with complex tasks but makes simple tasks worse. To fix this, they came up with a new idea: using a special “router” model to decide which type of task should be given to each model. This approach works really well and could help make computer vision even more powerful. |
Keywords
* Artificial intelligence * Language model
