Abstract: Recent diffusion models provide a promising zero-shot solution to noisy linear inverse problems without retraining for specific inverse problems. In this paper, we reveal that recent methods ...
The mathematical reasoning model performed as well as humans at prestigious international mathematics competitions.
OpenMMReasoner emphasizes data quality and diversity over quantity, offering a new path for enterprises to build custom, high-performing AI with limited proprietary data.
Elementary teachers can reap the benefits of differentiated instruction in math by leveraging existing resources.
Abstract: Math Word Problem (MWP) solving, which involves solving math problems in natural language, is a prevalent approach employed by Intelligent Tutoring Systems (ITS) for teaching mathematics.
Venture capital firm Lightspeed acknowledges a current AI valuation bubble. However, they believe the underlying AI technology represents a significant, once-in-a-generation shift. Lightspeed is ...
Kim Kardashian shared an emotional video documenting her intense preparation and disappointment after failing the California bar exam. Despite setbacks, including a back injury and feelings of ...
Abstract: Recent improvements in deep learning techniques have shown promising results in solving arithmetic word problems. The Block Recurrent Transformer (BRT) is a neural network architecture that ...
When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...
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