I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those ...

[September 4, 2024] We release the third version of the paper, adding more recent papers. Check it out on arXiv and OSS! [August 1, 2024] We will share the tutorial of this paper at CCL 2024 and CIPS ...

Abstract: Fine-tuning large language models (LLMs) for domain specific tasks is often an expensive resource intensive procedure requiring large computing and memory ...

Description: 👉 Learn how to solve literal equations involving formulas. A literal equation is an equation where the unknown values are represented by variables. To solve a literal equation means to ...

Abstract: Solving math word problems (MWP) is a crucial task in natural language processing, with methodologies having evolved from traditional rule-based approaches to deep learning and large ...

Over the past couple of months, several researchers have begun making the same provocative claim: They used generative-AI tools to solve a previously unanswered math problem. The most extreme promises ...

AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we can't verify them. How will we know if they're right? When you purchase ...

Here’s what you’ll learn when you read this story: Large language models (LLMs) like ChatGPT show reasoning errors across many domains. Identifying vulnerabilities is good for public safety, industry, ...