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Muhammad Falensi Azmi

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Sci-Rho: A Multilingual Visually-Grounded Symbolic Benchmark for STEM Problems

This work introduces Sci-Rho (Science Rhobustness), a dynamic benchmark for visually-grounded STEM problems spanning five subjects and seven languages, comprising 4,242 problem templates crafted by domain experts, including Olympiad medalists.

Muhammad Falensi Azmi, Ikhlasul Akmal Hanif, Vallerie Alexandra Putra et al. · 0 citations

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