Formal mathematics statement curriculum learning. In International Conference on Learning Representations (2023). Jiang, A. Q. et al. THOR: wielding hammers to integrate language models and automated theorem provers. Adv. Neural Info. Process. Syst. 35, 8360–8373 (2022). Google Scholar Mouret,...
NATURAL language processingUSER interfacesMATHEMATICSEDUCATIONAL tests & measurementsVOCABULARYDESCRIPTIVE statisticsSTATISTICAL samplingBackground: Readability metrics provide us with an objective and efficient way to assess the quality of educational texts. We can use the readability measures for finding ...
Mathematics Behind Large Language Models and Transformers Deep Dive into Transformer Mathematics: From Tokenization to Multi-Head Attention to Masked Language Modeling & Beyond 评分:4.3,满分 5 分4.3 (475 个评分) 2,415 个学生 创建者 Patrik Szepesi ...
The o1 models excel in STEM fields, with strong results in mathematical reasoning (scoring 83% on the International Mathematics Olympiad compared to GPT-4o's 13%), code generation and scientific research tasks. While they offer enhanced reasoning and improved safety features, they operate more slo...
Recently, Large Language Models (LLMs) (Brown et al., 2020) such as ChatGPT2 and GPT-4 (OpenAI, 2023a), have reshaped the field of natural language processing (NLP) and exhibited remarkable capabilities in specialized domains across mathematics, coding, medicine, law, and finance (Bubeck ...
数学Mathematics:对于基本的数学问题,大多数大型语言模型(LLM)都表现出熟练的加减法能力,并具有一定的乘法能力。然而,当涉及到除法、指数法、三角函数和对数函数时,他们都面临着挑战。尽管新模型取得了进展,但需要注意的是,与专家相比,峰值性能仍然相对较低,而且这些模型缺乏从事数学研究的能力。
Google DeepMind has used a large language model to crack a famous unsolved problem in pure mathematics. In a paper published in Nature today, the researchers say it is the first time a large language model has been used to discover a solution to a long-standing scientific pu...
摘要原文 It has been suggested that large language models such as GPT-4 have acquired some form of understanding beyond the correlations among the words in text including some understanding of mathematics as well. Here, we perform a critical inquiry into this claim by evaluating the mathematical ...
models. To bridge this gap, we propose a comprehensive and challenging benchmark specifically designed to assess LLMs' mathematical reasoning at the Olympiad level. Unlike existing Olympiad-related benchmarks, our dataset focuses exclusively on mathematics and comprises a vast collection of 4428 ...
Large language models (LLMs) have demonstrated significant capabilities in mathematical reasoning, particularly with text-based mathematical problems. However, current multi-modal large language models (MLLMs), especially those specialized in mathematics, tend to focus predominantly on solving geometric probl...