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VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning
To address this gap, we meticulously construct a comprehensive benchmark, named VisScience, which is utilized to assess the multi-modal scientific reasoning across the three disciplines of mathematics, physics, and chemistry.
MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language Model
Large language models (LLMs) have demonstrated significant capabilities in mathematical reasoning, particularly with text-based mathematical problems.
Rock Classification Based on Residual Networks
This boosts the model's performance, achieving an accuracy of 73. 7% on the test dataset.
GPT Can Solve Mathematical Problems Without a Calculator
Previous studies have typically assumed that large language models are unable to accurately perform arithmetic operations, particularly multiplication of >8 digits, and operations involving decimals and fractions, without the use of calculator tools.
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