Summary of Captioning Visualizations with Large Language Models (cvllm): a Tutorial, by Giuseppe Carenini et al.
Captioning Visualizations with Large Language Models (CVLLM): A Tutorial
by Giuseppe Carenini, Jordon Johnson, Ali Salamatian
First submitted to arxiv on: 27 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| 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 explores the possibility of automatically captioning visualizations using large language models (LLMs). Recent advancements in LLMs have opened up new avenues for information visualization (InfoVis) by enabling the creation of captions that describe complex data. The authors first review the fundamental principles of InfoVis and past work on captioning, before delving into the application of neural models and transformer architectures commonly used in LLMs to this domain. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps computers automatically describe pictures that show data, like charts or graphs. It’s a big deal because it can help people understand complex information better. The authors start by explaining what makes good visualizations and how we’ve tried to add descriptions to them before. Then they explain how special kinds of artificial intelligence called neural networks can be used to create these descriptions. |
Keywords
» Artificial intelligence » Transformer
