Скачать или смотреть ChartAnchor: The AI Test That Exposes Fake Charts (2024)

🚀 Imagine AI that doesn’t just see a chart — it understands it down to the code, data, and meaning. Meet *ChartAnchor* — the world’s first comprehensive benchmark for true *chart grounding*, where AI must bridge visuals, structured data, and executable code with precision.

In this video, you’ll discover:
🔹 How *ChartAnchor* pushes AI beyond surface-level image recognition with *8,000+ real-world chart-table-code triples* across *30 chart types* — from bar charts to 3D visuals, candlesticks, and Sankey diagrams.
🔹 The two core tasks: *chart-to-code generation* (recreate the exact Python script) and *controlled chart-to-table reconstruction* (extract data with specific headers).
🔹 Why traditional benchmarks fail — and how *ChartAnchor’s multi-level evaluation* checks not just visuals, but **functional correctness, data accuracy, color fidelity, and semantic alignment using CLIP**.

Spoiler: Even *GPT-4o* struggles — generating syntactically valid code with wrong values, or mimicking looks while failing data recovery.

This isn’t just about better charts. It’s about **trustworthy AI in science, finance, and policy**, where every decimal counts.

👉 If you're building or using multimodal AI (Python, TensorFlow, LLMs, vision models), **ChartAnchor is essential**. It forces models to reason symbolically, calculate precisely, and preserve structure.

🔥 **Try it now**: GitHub.com/immortal5655/ChartAnchor

Like this? *SUBSCRIBE* for more cutting-edge AI benchmarks, and **comment below**: Which chart type is hardest for AI to reconstruct? 📊✨ #Shorts
Read more on arxiv by searching for this paper: 2512.01017v1.pdf