Language Models' Factuality Depends on the Language of Inquiry
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2502.17955
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Megh Thakkar
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📢 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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