Adding one irrelevant sentence to math problems causes AI systems to make confident mistakes over 300 percent more.
Images of plants painted on pottery made up to 8,000 years ago may be the earliest example of humans’ mathematical thought, a study has found.
An elementary math problem has divided the internet after an easy-looking equation turned out to be anything but simple. Many X users were stumped by the problem 16 ÷ 4 X 4 - 4, posted by ...
GSM8K-V is a purely visual multi-image mathematical reasoning benchmark that systematically maps each GSM8K math word problem into its visual counterpart to enable a clean, within-item comparison ...
Here's the thing about math that nobody tells you: it's less about memorizing formulas and more about knowing which tools to reach for. By fourteen, students should have a problem-solving toolkit that ...
“Yoshua recently turned 57. He is three years younger than Yann. How old is Yann?” Solving such a math word problem (MWP) requires understanding the short natural language narrative describing a state ...
That’s how Meta’s chief AI scientist Yann LeCun described the blowback after OpenAI researchers did a victory lap over GPT-5’s supposed math breakthroughs. Google DeepMind CEO Demis Hassabis added, ...
One Word Substitution means using a single word to replace a long phrase or sentence without changing its original meaning. It helps make communication more clear, concise, and effective. These ...
So far, scientists have relied on positive reinforcement learning to train LLMs, but the opposite seems to be giving much better results, finds Satyen K. Bordoloi… This is a finding that’ll have ...
IQ tests present the readers with problems in the form of picture puzzles or math problems, and the reader needs to find the solution within a time limit. These simple puzzle games make the brain ...
Do you sense something problematic about the word “problematic”? The way it’s used has changed a great deal in recent years, so much that it can now seem a little shifty. The journey that brought us ...
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