When it comes to downstream natural language processing (NLP) tasks, large language models (LLMs) have proven to be exceptionally effective. To generate coherent and contextually relevant responses, ...

Abstract: Automatically solving math word problems (MWPs) is a challenging task for artificial intelligence (AI) and machine learning (ML) research, which aims to answer the problem with a ...

# 代码参考https://github.com/openai/grade-school-math/blob/master/grade_school_math/sample.py # https://github.com/openai/grade-school-math/blob/master/grade ...

State-of-the-art language models can match human performance on many tasks, but they still struggle to robustly perform multi-step mathematical reasoning. To diagnose the failures of current models ...

Automatically solving math word problems (MWPs) is a challenging task for artificial intelligence (AI) and machine learning (ML) research, which aims to answer the problem with a mathematical ...

Today’s large language models (LLMs) have moved beyond simple language tasks, demonstrating impressive in-context question-answering capabilities informed by novel user-initiated prompting techniques.

AI chatbots have stumbled with simple arithmetic and math word problems that require multiple steps to reach a solution, something recently documented by some technology reviewers In the school year ...

Word problems in mathematics are a powerful tool for helping students make sense of and reason with mathematical concepts. Many students, however, struggle with word problems because of the various ...