By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Abstract: Existing approaches to furnishing a basis of eigenvectors for the discrete Fourier transform (DFT) are based upon defining tridiagonal operators that commute with the DFT. In this paper, ...

Abstract: Effective prompt tuning is critical for using generative AI models, such as large language models (LLMs) and small language models (SLMs), for domain-specific tasks. However, optimizing ...

Frustrated by the AI industry’s claims of proving math results without offering transparency, a team of leading academics has ...