“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...
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 ...
More and more large multimodal models (LMMs) are being released from time to time, but the finetuning of these models is not always straightforward. This codebase aims to provide a unified, minimal ...
GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...
For years I avoided bar soaps because I only associated them with my skin feeling tight and dry, something I wanted to avoid at any cost. Instead, I relied on liquid body washes or shower oils. While ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...
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