content.raw: 📢 Exciting News! Our latest paper "ChartGemma" is out! 📊
content.type: text
content.value: 📢 Exciting News! Our latest paper "ChartGemma" is out! 📊
content.type: new_line
content.type: new_line
content.raw: 🧵1/3: ChartGemma overcomes existing chart models key limitations that rely too much on data tables. Instead, it is trained on data generated directly from chart images, capturing crucial visual trends📸🔍
content.type: text
content.value: 🧵1/3: ChartGemma overcomes existing chart models key limitations that rely too much on data tables. Instead, it is trained on data generated directly from chart images, capturing crucial visual trends📸🔍
content.type: new_line
content.type: new_line
content.raw: 🧵2/3: ChartGemma builds upon PaliGemma from Google Research and is fine-tuned on a high-quality visual instruction tuning dataset generated from Gemini Flash 1.5. 🌟📊
content.type: text
content.value: 🧵2/3: ChartGemma builds upon PaliGemma from Google Research and is fine-tuned on a high-quality visual instruction tuning dataset generated from Gemini Flash 1.5. 🌟📊
content.type: new_line
content.type: new_line
content.raw: 🧵3/3: Achieves state-of-the-art results in chart summarization, question answering, and fact-checking tasks. 🏅📊 It can also generate more accurate and realistic chart summaries. 📝🔍
content.type: text
content.value: 🧵3/3: Achieves state-of-the-art results in chart summarization, question answering, and fact-checking tasks. 🏅📊 It can also generate more accurate and realistic chart summaries. 📝🔍
content.type: new_line
content.type: new_line
content.raw: Our model and data are publicly available. We also have a cool web demo. Check it out! 🚀
content.type: text
content.value: Our model and data are publicly available. We also have a cool web demo. Check it out! 🚀
content.type: new_line
content.raw: Demo: 
content.type: text
content.value: Demo: 
content.raw: https://huggingface.co/spaces/ahmed-masry/ChartGemma
content.id: ahmed-masry/ChartGemma
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/ahmed-masry/ChartGemma
content.type: text
content.type: new_line
content.raw: Code: 
content.type: text
content.value: Code: 
content.href: https://github.com/vis-nlp/ChartGemma
content.raw: https://github.com/vis-nlp/ChartGemma
content.type: link
content.type: text
content.type: new_line
content.raw: Paper: 
content.type: text
content.value: Paper: 
content.label: ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild (2407.04172)
content.raw: https://huggingface.co/papers/2407.04172
content.id: 2407.04172
content.type: paper
content.type: resource
content.url: https://huggingface.co/papers/2407.04172
content.type: text
rawContent: 📢 Exciting News! Our latest paper "ChartGemma" is out! 📊
  
  🧵1/3: ChartGemma overcomes existing chart models key limitations that rely too much on data tables. Instead, it is trained on data generated directly from chart images, capturing crucial visual trends📸🔍
  
  🧵2/3: ChartGemma builds upon PaliGemma from Google Research and is fine-tuned on a high-quality visual instruction tuning dataset generated from Gemini Flash 1.5. 🌟📊
  
  🧵3/3: Achieves state-of-the-art results in chart summarization, question answering, and fact-checking tasks. 🏅📊 It can also generate more accurate and realistic chart summaries. 📝🔍
  
  Our model and data are publicly available. We also have a cool web demo. Check it out! 🚀
  Demo: https://huggingface.co/spaces/ahmed-masry/ChartGemma 
  Code: https://github.com/vis-nlp/ChartGemma 
  Paper: https://huggingface.co/papers/2407.04172 
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