Abstract: One of the crucial challenges taken in document analysis is mathematical expression recognition. Unlike text recognition which only focuses on one-dimensional structure images, mathematical ...
Mathematician Richard Evan Schwartz of Brown University tackled the problem in a recent study by working backward from an existing polyhedral torus to answer questions about what would be needed to ...
Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...
Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...
These low-floor, high-ceiling problems support differentiation, challenging all students by encouraging flexible thinking and allowing for multiple solution paths.
Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.
This expression will compute the sin of x and multiply it by 2. The result will be put in y. There is a very important difference between local and global: MathVM supports running expressions in ...
Abstract: Large Vision-Language Models (LVLMs) have shown impressive capabilities across various domains, but existing LVLMs have limited performance in dense perception and structured learning ...
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