For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended ...
Mathematician Will Sawin discusses his experience reviewing and refining a mathematical proof devised by OpenAI's internal model—and what that could mean for mathematics.
Last week, OpenAI shocked the mathematical community by revealing that one of its internal artificial intelligence (AI) models had found a counterexample to a famous conjecture made by legendary ...
To understand R1-Zero-like training, we critically examine two core components: base models and reinforcement learning. We highlight our findings below. In R1-Zero-like training, the template and the ...
We released MM-K12 dataset at MM-K12. This dataset will be used as input to the data pipeline to generate annotated solution trees with step-wise correctness labels. To enable parallel data generation ...
A new algorithm is suggested based on the central limit theorem for generating pseudo-random numbers with a specified normal or Gaussian probability density function. The suggested algorithm is very ...
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