Janice Ahn

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following

In the realm of large language models (LLMs), enhancing instruction-following capability often involves curating expansive training data. This is achieved through two primary schemes: i) Scaling-Inputs: Amplifying (input, output) pairs per task instruction, aiming for better instruction adherence. i…