Chain-of-thought prompting (CoT) and tool augmentation have been validated in recent
work as effective practices for improving large language models (LLMs) to perform step-by …

Scaling high-quality tutoring remains a major challenge in education. Due to growing
demand, many platforms employ novice tutors who, unlike experienced educators, struggle …

With the boom of Large Language Models (LLMs), the research of solving Math Word
Problem (MWP) has recently made great progress. However, there are few studies to …

Numbers are crucial for various real-world domains such as finance, economics, and
science. Thus, understanding and reasoning with numbers are essential skills for language …

Advancements in conversational systems have revolutionized information access,
surpassing the limitations of single queries. However, developing dialogue systems requires …

The emergence of generative language models (GLMs), such as OpenAI's ChatGPT, is
changing the way we communicate with computers and has a major impact on the …

There is increasing interest in employing large language models (LLMs) as cognitive
models. For such purposes, it is central to understand which cognitive properties are well …

This paper presents the results of the first shared task about the creation of educational
materials for three indigenous languages of the Americas. The task proposes to …

NLP has recently made exciting progress toward training language models (LMs) with
strong scientific problem-solving skills. However, model development has not focused on …

Large language models (LLMs) have demonstrated impressive capabilities in mathematical
problem solving, particularly in single turn question answering formats. However, real world …