PlotChain Benchmark for MLLM Plot Reading
π‘New reproducible benchmark exposes MLLM limits on engineering plotsβGemini tops 80% scores (72 chars)
β‘ 30-Second TL;DR
What Changed
New benchmark with 450 rendered engineering plots and exact ground truth
Why It Matters
This benchmark highlights MLLM strengths in plot reading while exposing gaps in technical domains, aiding targeted improvements. It enables reproducible evaluations, fostering progress in engineering AI applications.
What To Do Next
Download PlotChain dataset and scoring code from arXiv to benchmark your MLLM on plot reading.
Key Points
- β’New benchmark with 450 rendered engineering plots and exact ground truth
- β’Checkpoint-based diagnostics for sub-skill failure localization
- β’Gemini 2.5 Pro at 80.42%, GPT-4.1 at 79.84%, Claude Sonnet 4.5 at 78.21%
- β’Releases generator, dataset, outputs, and scoring code for reproducibility
- β’Challenges persist in frequency-domain plots like bandpass and FFT
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Original source: ArXiv AI β
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