Muldimif: A Multi-dimensional Constraint Framework For Evaluating And Improving Instruction Following In Large Language Models

Abstract

Instruction following refers to the ability of large language models (LLMs) to generate outputs that satisfy all specified constraints. Existing research has primarily focused on constraint categories, offering limited evaluation dimensions and little guidance for improving instruction-following abilities. To address this gap, we introduce MulDi