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 …

In this paper we present a Chain-of-Thought enhanced solution for large language models,
including flanT5 and GPT 3.5 Turbo, aimed at solving mathematical problems to fill in blanks …

Real-world quantitative reasoning problems are complex, often including extra information
irrelevant to the question (or" IR noise" for short). State-of-the-art (SOTA) prompting methods …

Numerical reasoning over table-and-text hybrid passages, such as financial reports, poses
significant challenges and has numerous potential applications. Noise and irrelevant …

This system proposes a question-answer model to analyze answers given by the users to
the open-ended question. For this system, we use a squad dataset. The squad dataset is …