Summary of Visualwebbench: How Far Have Multimodal Llms Evolved in Web Page Understanding and Grounding?, by Junpeng Liu et al.
VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?
by Junpeng Liu, Yifan Song, Bill Yuchen Lin, Wai Lam, Graham Neubig, Yuanzhi Li, Xiang Yue
First submitted to arxiv on: 9 Apr 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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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 Multimodal Large Language models (MLLMs) have shown promise in web-related tasks, but evaluating their performance remains a challenge due to the lack of comprehensive benchmarks. To address this issue, researchers introduced , a multimodal benchmark designed to assess MLLMs’ capabilities across various web tasks. The benchmark consists of seven tasks and 1.5K instances from 139 real websites, covering 87 sub-domains. Evaluating 14 open-source MLLMs, Gemini Pro, Claude-3 series, and GPT-4V(ision) on reveals significant challenges and performance gaps. The results highlight limitations of current MLLMs, including inadequate grounding in text-rich environments and subpar performance with low-resolution image inputs. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large Language models have the potential to help us better understand and interact with websites. However, it’s difficult to measure how well these models perform on web-related tasks. To solve this problem, scientists created a new benchmark called . This benchmark tests how well different models can do various tasks related to websites, like recognizing text or understanding images. The results show that the current models are not very good at doing some of these tasks, especially when it comes to working with low-quality images. |
Keywords
» Artificial intelligence » Claude » Gemini » Gpt » Grounding
