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We can sometimes assume students already grasp the foundational concepts necessary for success. Recent results on the ...
Abstract: Following the success of Large Language Models (LLMs) in language tasks, LLMs have been adapted for reasoning in math word problems (MWPs). MWP is a complex task that requires both semantic ...
A polynomial is a type of algebraic equation that involves variables raised to a non-negative power — for example, x² + 5x + ...
Brain teasers are an excellent way to keep your mind sharp and engage your problem-solving skills ... way to give your brain a workout. Math-based brain teasers, in particular, can often leave ...
Official repository for the paper "MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?". 🌟 For more details, please refer to the project page with dataset exploration ...
“I just think ‘Nazi’ is a hard word to use with nuance. So, when you bring that word out—I feel like they’re the goat of evil, and so it just conflates your [argument],” he told guest ...
It plays a central role when students attempt to solve math word problems. For the study ... because they just don't get training in it," Orosco said. "These are difficult experimental studies to do, ...
OpenAI’s o3: AI Benchmark Discrepancy Reveals Gaps in Performance Claims Your email has been sent The FrontierMath benchmark from Epoch AI tests generative models on difficult math problems.
There is, however, some cause for concern after Jayson Tatum took a hard fall following a flagrant foul from Kentavious Caldwell-Pope. Kentavious Caldwell-Pope was given a flagrant foul 1 for this ...
It plays a central role when students attempt to solve math word problems. For the study ... t get training in it," Orosco said. "These are difficult experimental studies to do, but we find ...
"These are difficult experimental ... Lee Swanson et al, The mathematical word problem-solving performance gap between children with and without math difficulties: does working memory mediate ...