Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...
Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...
Abstract: Combinatorial optimization problems (COPs) are essential in various applications, including data clustering, supply chain management, and communication networks. Many real-world COPs are non ...
Mathematician Johannes Schmitt reports that GPT-5 has independently solved an open mathematical problem for the first time. The resulting paper clearly documents the collaboration between humans and ...