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omoured/CHAOS

CHAOS Benchmark: Robustness Testing for Noisy Charts 🌀 Omar Moured, Yufan Chen, Jiaming Zheng, Simon Reiß, Ruiping Liu, Rainer Stiefelhagen [Introduction] What happens when the input is messy—blurred labels, typos, occlusions, or color shifts? 🤔CHAOS (CHart Analysis with Outlier Samples) is the first benchmark purposely designed to stress‑test MLLMs under realistic noise. We: evaluate 10 visual and 5 textual perturbations, each at three increasing severity… See the full description on the dataset page: https://huggingface.co/datasets/omoured/CHAOS.

Author / organizationomoured
License (as declared)agpl-3.0
Downloads159 (as reported by Hugging Face)
Likes1
Created28 April 2025
Last updated at source26 May 2025
chart-analysischart-understandingMLLMrobustness
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