Instruction Following

Instruction following is a fundamental task for large language models, aimed at evaluating the model's ability to adhere to human instructions. The core objective of this task is to ensure that the model can generate controllable and safe responses to meet the specific needs of users. Within the framework of natural language processing, instruction following has significant application value, as it can enhance the efficiency and accuracy of human-computer interaction, and is widely used in intelligent assistants, automatic question-answering systems, and other fields.